Senior Data Engineer Resume Samples

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K Ritchie

Kaelyn

Ritchie

1116 Tanner Haven

Detroit

+1 (555) 903 7911

1116 Tanner Haven

Detroit

Phone

p +1 (555) 903 7911

Experience Experience

Philadelphia, PA

Senior Data Engineer

Philadelphia, PA

West Inc

Philadelphia, PA

Senior Data Engineer

Providing accurate estimates for project development and implementation. Work with management to meet those estimates
Works with developers to make sure that all data solutions are consistent
3) Work closely with a global team of Data scientists, Domain experts, Data Engineers, & Product managers to create business impacting data analytics services
The individual will participate in development efforts using Agile development frameworks such as Scrum or Kanban
Work collaboratively with Product Management, Technical Marketing and Engineering during the development, launch and continuing refinement of Pivotal products
Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports
Assist with the active management/coordination of IBM contracted resources to perform operations functions

New York, NY

Think Big Senior Data Engineer

New York, NY

Torphy-Gerhold

New York, NY

Think Big Senior Data Engineer

Mentoring junior members on the team in application architecture, design and development best practices
Supporting and managing internal asset development projects
Mentoring junior members of the team in software development best practices
Leading small teams of developers and coordinating development activities
Designing and developing code, scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources
Provide technical leadership to clients in a team that designs and develops pathbreaking large-scale cluster data processing systems
Additionally the Senior Data Engineer assists Think Big Analytics establish thought leadership in the big data industry by contributing white papers, technical commentary and representing the company at industry conferences

present

Houston, TX

Senior Data Engineer Business Intelligence

Houston, TX

Streich, Reilly and Feest

present

Houston, TX

Senior Data Engineer Business Intelligence

present

Interface with business professionals, application developers and technical staff working in an agile process and environment
Develop technical standards, procedures, and guidelines used to govern data models
Document success criteria and monitor solution effectiveness, including system performance, adoption and other key metrics
Working knowledge of Data Warehousing tools and methodology, reporting tools and ETL tools
Create and maintain technical documentation, architecture designs and data flow diagrams
Help to lead technology initiatives related to data and analytic solutions for the Marketing and Sales organizations within Global Investment Management
Guide development team and business partners in applying data modeling techniques

Education Education

Bachelor’s Degree in Computer Science

The Ohio State University

Bachelor’s Degree in Computer Science

Skills Skills

Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds
Experience in relational database concepts with a solid knowledge of SQL, including ability to write complex queries against one or more schemas
Experience in one of the modern reporting tools such as Tableau, QuickSight etc. is desirable
Strong problem-solving and structuring skills, with ability to bring actionable insights through effective communication
Ability to write code that is technically sound, performant, scalable, and readable
Strong experience with reporting tools like Tableau or other reporting packages
Excellent written and verbal communication skills, be able to explain the work in plain language to management with no data experience
8+ years of experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security
Able to create a storm topology to filter or transform a steam of data. Ability to track state and isolation in Trident or similar
A basic understanding of the legal implications of moving data across international boundaries, or comfortable working with legal consult would be advantageous

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Senior Data Engineer Resume Examples & Samples

Partners with team lead to identify technical requirements and alternatives to accomplish project
Providing accurate estimates for project development and implementation. Work with management to meet those estimates
Participates in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues
Work with the Architecture team in defining software and infrastructure technical solutions
Serve as a mentor and advisor to team members
Participate in interviewing technical candidates and provide feedback
8+ years of full software development lifecycle experience
5+ years of experience developing web applications
5+ years of Object-Oriented analysis, design and development experience
5+ years of experience in a data oriented role
Strong Java 1.7+ Experience
Strong Linux Experience
Significant exposure to and demonstrated proficiency in all aspects of programming and analysis including design patterns, hardware and software requirements, systems requirements and deployment protocols
BS in computer science, engineering, mathematics or physical sciences
Experience with a widely used RDBMS’ and SQL
Experience with at least one columnar NoSQL solution
Experience developing, maintaining, and innovating large scale, consumer facing web applications
Experience working in a large big data enterprise organization
Experience with LinkedIn’s Azkaban, Apache Closure
Familiar with the development challenges inherent with highly scalable and available web applications
Experience with various, modern web frameworks
Experience with PostgreSQL RDBMS
Experience with Apache hBase
Experience with Apache Avro
Experience with Pentaho Weka or Apache Mahout
Operational experience with large software systems
Experience with Amazon EC2 and EMR
Schema and/or Cube design experience
Exposure to statistics, machine learning and natural language processing applications

Senior Data Engineer Resume Examples & Samples

Demonstrable experience and knowledge with key value, column oriented, and document store non-relational database systems such as Cassandra, MongoDB, CouchDB, Hbase
4 or more years of experience with relational database systems such as SQL Server, MySQL, PostgreSQL, Oracle
2-4 years experience with Windows Server platforms; Linux a plus
2-4 years experience with relevant scripting languages or programming frameworks desired (JavaScript, Python, Ruby, perl, C, Powershell, .Net a plus)
Expertise in relational database administration including configuration, implementation, data modeling, maintenance, redundancy/HA, security, troubleshooting/performance tuning, upgrades, database, data and server migrations, SQL
2 or more years of IT operational experience supporting robust e-commerce, gaming or online businesses in a 24X7 production environment
Expertise in configuring, implementing and supporting high availability redundancy strategies on systems including replication, clustering, log shipping, mirroring
Expertise in relational database design and architectural principles and methodologies
Expertise with Disaster Recovery planning and implementation
Experience with Linux system administration, configuration, troubleshooting, performance tuning, and security procedures; experience with Windows desired
Excellent knowledge of hardware, storage, RAID, and disk subsystems technologies as they pertain to DBMS systems, experience with SAN technologies highly desired
Excellent systems documentation and system diagraming skills
Experience with project management methologies and handling complex projects
Product updates on our technology portfolio
Demonstrated experience with troubleshooting systems issues and effectively diagnosing problems
Knowledge of understanding of TCP/IP fundamentals (DNS, FTP, SSH), general networking technologies, network architecture and connectivity troubleshooting
Knowledge of enterprise storage solutions including SAN/NAS
Degree in computer science/information systems, engineering or related field preferred; or a corresponding number of years experience in technical operations or software engineering

Senior Data Engineer Resume Examples & Samples

Experience with distributed data processing system, such as Hadoop/MapReduce, Hive, Pig and SQL/NoSQL databases
Self-starter and ability to handle multiple competing priorities in an Agile environment
Partner with front-end engineers to design and develop event-tracking mechanism based on web/app analytics projects
Develop business critical data solutions

AM, Senior Data Engineer, VP Resume Examples & Samples

Design of data model and data security
Design technical architecture, data load and refresh design
Design, development and management of the infrastructure required to deploy model results
Work with Intelligent Solutions and GTI in the management of the Greenplum infrastructure and environments
7+ years hands-on designing and managing large data models for predictive modeling consumption using structured and unstructured data
7+ years in Informatica ETL and Control-M jobs
3+ years hands-on experience with Greenplum, Big Insights or other MPP environment, Greenplum experience a plus
Experience writing Java, Perl/python, Unix shell scripting and leveraging open source code
Excellent software engineering, application architecture and data engineering skills
Work collaboratively across technology boundaries to deliver a seamless infrastructure
Experience managing a diverse work force of data and software engineers
Excellent quantitative and analytical problem solving skills
Team player and leader exhibiting professional maturity, personal integrity, and excellent interpersonal skills
Undergraduate or advanced degree in Computer Science, Operations Research or other engineering discipline

Senior Data Engineer Resume Examples & Samples

Building out reporting processes that require aggregating large data sets on a regular basis in a performant fashion with T-SQL
Developing ETL processes in Python to send large data sets into Hadoop and bring summarized results back into the SQL data warehouse
Work with business facing teams on requirements and delivering them a final solution to their spec
Architecting better quicker replacements to existing processes
Working across multiple teams in high visibility roles and own the solution end-to-end

Senior Data Engineer Resume Examples & Samples

Provide expert advice and education in the usage and interpretation of data to the other teams
Interact with internal clients regarding data availability, feasible alternative data, data visualization, and potential issues, to deliver information that meets business needs
Locate and acquire data from warehouse or transactional source systems to our data mart using Informatica, SQL, REST API, and Hive among others
Transform data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making to drive significant business impact
Collaborate across teams on the design and maintenance of our Operations data mart (ETL, data modeling, metric design, reporting/dashboarding, etc.) to assure a stable reporting infrastructure
Manage data-related activities and design processes with internal developers and external consultants to evolve the way we organize and maintain data
Analyze performance data, providing assessments of trends, identifying and explaining variances from goals / history, and identifying indicators of possible performance issues or changes in future business activities
Drive improvements of cross-functional data integration efforts with business, IT, and BICC
Develop and maintain strong relationships with key stakeholders and partners
Interact with and present analysis findings to senior management teams
Continually review reports and analysis to identify more efficient data gathering / summarization / analysis techniques, advances in data manipulation and report format generation processes
Detect data quality issues and analyze their root causes
Implement fixes and design data audits to capture the issues in the future
Experience with analytical tools supporting data analysis, reporting and visualization (i.e. QlikView, Tableau, R, SPSS, SAS, MarketSight etc.)
Knowledge in some of the following applications desired: SFDC, SAP, Siebel Analytics
Experience in one or more: Python/Perl/Java/C++

Senior Data Engineer Resume Examples & Samples

You are a talented Software Engineer who is passionate about code quality, usability, and technology
You excel at working with multidisciplinary teams to deliver great user experiences
You are a power web user keeping yourself up-to-date with the latest trends and breakthroughs in web development technology
You have a strong record of project execution and completion and have experience with Scrum and agile development practices
You love working with smart people and want to be part of a team
You are excited by the challenge of pushing the limits of the web platform to deliver disruptive, innovative solutions to the world that will delight your customers
Be part of the Agile team and participate in all agile activities (standups, planning, validations, etc.)
Analyze the requirements, UX Designs, Solutions and work with Business/Designers/Architects
Develop/Maintain Software artifacts in various technologies with dedication to Code Quality
Ensure Software artifacts are Unit/Integration/Performance tested
Keep your ear to the ground and help us incorporate industry best practices and important developments into our products

Senior Data Engineer Resume Examples & Samples

Design and implement various application components within the team
Validate overall application design and make sure that applicable technologies are being used
Establish ‘best practices’ within a development team to make them more productive and efficient and mentor team members
Develop software with proper unit, integration and regression tests
Ensures adequate technical documentation and training
Develops detailed plans and accurate estimates
Works closely with QA team to ensure high quality of the product
Oracle 11g experience is required
Full stack software engineer
5+ years of experience in object oriented languages (Java, C++)
5+ years of experience in database (Oracle, SQL Server)
Large data volume processing experience is required
Big data or data warehousing patterns
Strong understanding why things like source control, overnight builds, and proper releases are important to the development process
Web development experience (nice to have)
Hadoop and vertica experience is a plus
Python scripting experience is a plus
Financial experience is a plus
LI-AC

Senior Data Engineer Resume Examples & Samples

Contribute as an active team member on a high-performing agile team
Work closely with Business Stakeholders, UX Designers, Solution Architects and other team members to achieve results together
Participate in business requirements analysis, solution design, detailed design, solution development, testing and deployment
Deliver robust, flexible and scalable solutions with a dedication to high quality that meet or exceed customer requirements and expectations
Be creative and stay abreast of industry trends and new technologies

Senior Data Engineer Resume Examples & Samples

Leadership, management and growth of the core data engineering team
Lead, manage and build data platform on cloud (AWS) that collects, connects, centralizes, and curates data from various internal and external data sources
Architect scalable and reliable data engineering solutions for moving data efficiently across systems at near real-time and batch
Implement tools that help our data consumers to extract, analyze, and visualize data faster
Use your expert coding skills across languages - Java, Scala, and Scripting
Evaluate new technologies and build prototypes for continuous improvements in Data Engineering
Partner with DevOps teams to ensure instrumentation, logging, and monitoring is in place
Contribute to data community through internal talks, meetups and seminars
Drive the successful usage and adoption of data solutions
Occasionally support pre-sales proof of concepts involving data science and data engineering solutions
Provide consultative support to the our extended analytics organization
Evangelize the value of the data science platform

Senior Data Engineer Resume Examples & Samples

Must have 10-15 years of experience in database development, administration, data modeling
Experience with RDBMS ( DB2 , SQL Server) as SQL developer or administrator
Excellent problem solving , debugging , performance tuning skills
Proficient in writing stored procedure in TSQL,PL/SQL
Proficient in Linux/Unix /Windows shell scripting

Senior Data Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Engineering, or a related discipline
5-8 years of experience developing successful software implementations
Strong data development skills in Oracle SQL and PL/SQL, ETL (preferably Informatica), Linux/UNIX, data warehousing and data modeling are required
Strong application development experience using Java, Ruby, HTML5, JavaScript, CSS, jQuery, Bootstrap, PHP, and experience with web services/messaging
Strong problem-solving and structuring skills, with ability to bring actionable insights through effective communication
Excellent communication skills including experience speaking to both technical and business audiences
Ability to work independently as well as in team environment, providing structure in ambiguous situations
Ability to independently and quickly ramp up on new business and technical concepts
Cognos Framework and report development experience

Senior Data Engineer Resume Examples & Samples

Provide consultative support to the Field and Partner Training organizations for review of deep technical training material
Work collaboratively with Product Management, Technical Marketing and Engineering during the development, launch and continuing refinement of Pivotal products
Present Architecture and Design vision and strategy to our customers at levels including executives to technical management and individual contributors

HBO Senior Data Engineer Resume Examples & Samples

Facilitate the design, implementation and enhancement of complex data solutions integrating data from structured and semi-structured sources (web logs, streaming, social etc.)
Design complex data models for real-time and offline analytic processing. Understand and translate business needs into conceptual, logical and physical data models working closely with the Enterprise Data Architect. Collaborate with various stakeholders to implement the data models
Ability to integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards
Perform complex data analysis in support of data profiling and data quality functions

Senior Data Engineer Resume Examples & Samples

Be a data expert for our organization and help solve the hard data problems
Build data services through a tight partnership with the PMs we support to enable our peers, management, product managers and evangelism to access the data needed to make the best decisions in running the business
Visualize trends and anomalies in our data to help highlight areas of focus for the organization and to help advance our business goals
Dive deeply into our data and partner’s data which we rely on to ensure it is timely and accurate

Senior Data Engineer Resume Examples & Samples

Be a data conductor – Design, implement, and improve data pipelines throughout our data platform from data ingestion through the endpoints used to make data actionableBuild Capabilities – Develop a sense of the business problems that we are trying to solve for and build capabilities that scale and drive real impact
Help design the big picture – Actively participate in continually improving our data schemas, models, maps, and linkages so we can harness the collective power of our 40+ datasets
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data profiling, investigative mining, and discovery
Act as a Knight of Data Quality – Aggressively drive the design and implementation of tools and technologies to master and clean data to ensure we’re not snared by bad or missing data
A minimum of 6 years of progressively complex related experience or its equivalent
First-hand experience – A minimum of 3 years of professional experience focusing on building data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment'
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
Affinity for sports.Proficiency with git
Experience with AWS, linode, Azure, Heroku, or OpenStack
Experience with Apache Kafka
Bachelor’s degree or higher in Computer Science, Computer Engineering, or its equivalent

HBO Senior Data Engineer Resume Examples & Samples

Develop a next-gen Big Data platform supporting enterprise-wide usage across multiple business units
Understand the challenges being addressed by this platform and collaborate across teams such as data scientists, application developers and department heads to deliver a technical solution that meets their unique needs
Design and develop an extensible framework for ingestion of multiple future and existing data streams, both batch and real-time
Support by escalation of the production data and analytics platform
You’ve worked with Amazon Web Services (AWS) technologies
Experience building complex, highly scalable software systems that have been successfully delivered to customers
You have a BS/MS/PhD in Computer Science or related field
Experience with technologies like Storm/Spark/Hadoop/Hbase/Hive a plus
Knowledge of Publish-Subscribe patterns and technologies

Senior Data Engineer Resume Examples & Samples

Build a real-time data pipeline that produces up-to-the-second analyses
Generate insights that can be turned into meaningful actions by all levels of the organization
3+ years of experience in a data-driven information environment designing and implementing solutions
Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth start-up environment
Solid database experience, proficiency in writing complex SQL
BI/DW/Data Modeling related experience is a plus

Senior Data Engineer Resume Examples & Samples

Design, build, and maintain scalable data warehousing, data models, and data processing pipelines
Work with data scientists to build models for understanding our audience and content personalization
Help set and ensure good coding processes and practices across the data team
Experience building data warehouses and data modeling pipelines on AWS
Proven ability to work with a variety of different data infrastructure, including SQL and noSQL databases, Mapreduce/Hadoop, Spark, etc
Ability to make good choices amongst the many infrastructure options when designing new, state of the art systems
Strong CS fundamentals
Expert programmer (preference for Python / Java / Scala)
Experience with designing and building RESTful API services

Big Data Engineer / Senior Data Engineer Resume Examples & Samples

Build and maintain code to populate HDFS, Hadoop with log events from Kafka or data loaded from SQL production systems
Design, build and support pipelines of data transformation, conversion, validation
Design and support effective storage and retrieval data
Assess the impact of external production system changes to Big Data systems on Hadoop or Spark and implement changes to the ETL to ensure consistent and accurate data flows
Design and implement best practices for cluster deployments of Hadoop, Spark, and other BigData eco-system tools
Experience with Hadoop stack (HIVE, Pig), Airflow, sqoop, and MapReduce
Experience with Hbase or comparable NoSQL
Strong grasp of algorithms and data structures
Database experience with MySQL, MSSQL or equivalent
Proficient in Java & Python
Experience with Test Driven Code Development, SCM tools such as GIT, Jenkins, & Ansible
Good familiarity with in Linux/Unix, scripting and administration
MS/BS/PH.D Computer Science/Engineering or equivalent plus a minimum of 2-5 years relevant experience

Senior Data Engineer Resume Examples & Samples

Partner directly with business stakeholders from beginning to end of their data projects – understand the context and goals, find and collect the data needed to meet those goals, and help them visualize it and tell the story
Travel occasionally (around once per quarter) to Seattle to participate in integration discussions
Python, Perl, or Java
Hadoop, MapReduce, Pig or Hive
Experience using AWS for data applications (e.g. EC2, S3, Redshift, RDS, Data Pipeline)
Familiarity with reporting or BI tools (e.g. Tableau, MicroStrategy, SSRS)
Demonstrate the ability to learn quickly if not a core competency

Senior Data Engineer Resume Examples & Samples

4+ years’ experience in programming, software design and architecture
Strong experience with Java, AngularJS, JavaScript, JQuery, CSS, HTML, MySQL, MongoDB, Redis or equivalents
Ability to work in a fast paced, evolving, growing and agile environment
Ability to work across the technology stack from user interfaces to backend services
Motivated self learner who can demonstrate a strong sense of ownership and accountability and drive end to end technical solutions
Ability to collaborate with the development teams on projects that may span a number of internal and externally facing systems

Senior Data Engineer Resume Examples & Samples

7+ years of experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security
5+ years of experience in architecting data warehouse solutions and integrating technical components
3+ years of experience with relational, star schema, and data cubes data modeling concepts
2+ years working with SSAS, SSRS or other equivalent BI tools
1+ year of experience with Big Data technologies including ADF, ADW, ADL, Cosmos
5+ years of experience working with software programming in an Object Oriented Programming Language e.g. C++, C#, Java

Senior Data Engineer Resume Examples & Samples

Create ETLs/ELTs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Develop a deep understanding of vast data sources (existing on the cloud) and know exactly how, when, and which data to use to solve particular business problems
5+ years of experience in designing and operating very large Data/BI platforms
Strong Data Warehousing and Business Intelligence skills, including: Reporting, Data cleanup, ETL, ELT and handling scalability issues for enterprise level data warehouse
Strong data modelling/design experience
Expertise in using OLAP technologies and BI Analytics
Exposure in at least one reporting tool like Qlikview, Tableau, OBIEE, MicroStrategy etc
Experience with implementing data quality rules across business intelligence platform
Capable of investigating, familiarizing and mastering new data sets quickly
Strong troubleshooting and problem solving skills in large data environment
Work smarter, not harder – Proponent of not re-inventing the wheel; generally prefer wielding the power of open source and community-driven software to solve hard problems, quickly
Expert in SQL writing
Working knowledge of HDFS, and Hadoop/Hive and familiarity with big Data technologies (HBASE, Spark)
Experience in using one scripting language (Python/Java/C#) to solving data problems
Experience with Hadoop a big plus
Experience producing, consuming and managing REST & other HTTP APIs
Experience developing software using Agile methodologies
BS or MS in Computer Science or related field or equivalent work experience

Senior Data Engineer Videa Resume Examples & Samples

Work with Product Management and stakeholders to build understanding of our business and solutions
Design back-end (T-SQL) test cases that verify requirements
Analyze how data integrates across multiple applications and make recommendations for improvements
Monitor processing time for queries/ stored procs (other) and make recommendations for improvements
Develop a tooling solution for best practices for the Data Engineer discipline
Work as part of a scrum team to fulfil sprint deliverables
Evaluate technical designs from a holistic viewpoint to ensure they are comprehensive and well-engineered
Identify gaps and weaknesses in technical requirements
Support test automation efforts by designing test scripts and executing automated tests
Detect, Report, Triage and Track software defects using Microsoft Test Manager / Coded UI
Participate in Scrum team as a full member – do whatever it takes to make the team successful

Senior Data Engineer Resume Examples & Samples

Evaluate Hadoop infrastructure requirements and design/deploy solutions (high availability, big data clusters, elastic load tolerance, etc.)
Develop automation, installation and monitoring of Hadoop ecosystem components; specifically: Spark, HBase, HDFS, Map/Reduce, Kafka, Parquet, Yarn, Oozie, Pig, Hive
Dig deep into performance, scalability, capacity and reliability problems to resolve issues
Data curation, prep & ETL of the many data sources ingested into Hadoop
Troubleshoot and debug Hadoop ecosystem run-time issues
Provide developer and operations documentation
Run Proof of concept projects with our customers
Proficiency in one or more of Java, Python, SQL, Scala
Experience with Hadoop eco-system
Knowledge of working with MapR or Cloudera distributions of Hadoop
Proven experience building and scaling out Hadoop based or Unix hosted database infrastructure for an enterprise (software, network, storage and related)
2+ years- experience of Hadoop administration or a strong and diverse background of distributed cluster management and operations experience
2+ years system configuration experience
Highly collaborative work style with proven ability to work with varied customers
2+ years writing Perl scripts for various task automation etc
Experience with ETL and BI tools
Kerberos experience a plus
Background in cyber security a plus

Senior Data Engineer Resume Examples & Samples

Develop processes to ETL data from production data sources to a centralized data warehouse
Troubleshoot any performance, system or data related issues, and work to ensure data consistency and integrity
Cover Letter which should include

Senior Data Engineer Resume Examples & Samples

4) Integrate multi-structured data from various sources to unlock new insights for Honeywell customers
5) Develop and deploy data science based analytical algorithms in production
Bachelor’s degree in computer science, statistics and relevant fields, with 3-10 years of hands-on experience in working on Bigdata sets of structured and unstructured data in cloud production systems
Must have worked in in a fast paced environment supporting Batch and Real-time Data Analytics deployments
Experience working with big data tools such as MapReduce, Pig, Spark, Kafka and NoSQL data stores such as MongoDB, Cassandra, HBase, etc
Expertise in multi-structured data modeling, reporting on NoSQL & structured database technologies such as HBase and Cassandra, SQL
Experience with languages such as Python, Perl, Ruby, Java, Scala, R etc
Strong data & visual presentation skills and ability to explain insights using tools like tableau, D3 charts or other tools
Basic knowledge and experience of statistical analysis tools such as R

Senior Data Engineer Resume Examples & Samples

Utilize multidisciplinary approach to Data Analytic problems to combine technical, analytics and business knowledge
Break down business problems into solvable components to recommend solutions
Rapid, hands-on development of new data and analytics prototypes
Develop and deliver data infrastructure to enable advanced analytics
Bachelor’s degree in computer science, mathematics, or equivalent. Master's or PhD in these fields is a plus
Experience coding and developing prototypes in languages such as Python, C++, Java, Scala, SQL
Experience with the hadoop ecosystem
Experience with Bash or Korn Shell Scripting
Familiarity with statistical concepts and related technology (R, SAS, Matlab)

Senior Data Engineer Resume Examples & Samples

Own and drive complex technical projects from the planning stage through execution
Work on data access APIs and server-to-server batch transmissions
Work to produce regular automated reports on complex and disparate data sets

Senior Data Engineer Resume Examples & Samples

Create databases optimized for performance, implement schema changes and maintain data architecture standards across all databases
Perform ad-hoc analysis of data stored in MS SQL and MySQL databases
Write SQL scripts, functions, stored procedures, and views
Troubleshoot data issues and present solutions to the issues
Clean and manipulate data, perform complex calculations, create/update stored procedures, and optimize existing stored procedures using indexing, temp tables, logic changes, etc
Proactively analyze and evaluate the database to identify and recommend improvements and optimization
Develop ETL routines to populate databases from sources and create aggregates
Create and run data migrations across different servers and different databases for example: data migration from SQL Server to MySQL
Develop and implement scripts for database maintenance, performance tuning, monitoring etc., in collaboration with technical operations teams
Prepare activity and progress reports regarding database health and status
Hands-on experience in creating and debugging mission-critical databases
Strong conceptual and working knowledge of building and maintaining logical and physical data models
Excellent communication skills and ability to explain complex technical concepts to stakeholders
Ability to create clean and efficient code in SQL
Excellent analytical problem solving skills
A passion for teamwork and collaboration
Ability to work self-directed and as part of a team on projects of varying size; shows commitment to tasks, project, and to the team
Bachelor’s degree in computer technology or related field
Minimum 6 years experience as a Database Engineer or Administrator, to include experience in database performance optimization
Experience with Microsoft SQL and MySQL databases. Experience in SQL Server 2008 and above. Experience in MySQL 5.5 and above is necessary
Fluent in using tools like MySQL Workbench, Sequel Pro is necessary
Very Strong T-SQL programming skills
Expertise in database development using views, T-SQL, MSSQL and/or MySQL scripts and SSIS packages and transforms
Working knowledge of UNIX/Linux scripting and basic trouble-shooting
Experience working with large complex sets of data in a high-availability environment
Experience in analyzing volumes of data using Microsoft Excel functions, such as pivot tables and macros
Experience with SCRUM agile methodology process and development practices
E-Commerce industry experience preferred
Experience in Internet technologies such as IaaS, PaaS, SaaS preferred
LI-MH1

Senior Data Engineer Resume Examples & Samples

Design, build, and maintain all parts of the data warehouse infrastructure (ETL, data modeling, metric design, reporting/dash boarding, etc.)
Acquire data from transactional source systems to the data warehouse (typically using Python, Spark, Amazon EMR or Amazon Kinesis)
Work with data product manager, data scientists and other data engineers to refine product concepts and implement the data modelling needed to turn them into reality, or help automate processes
Performing ad hoc data updates and other follow-on data services
Collaboration with analysts in the preparation of data for research projects
Defining, establishing and monitoring data quality standards and automated testing frameworks
Monitoring regular data processing tasks to ensure high levels of data quality
Strong SQL programming and Performance tuning
Big data & production support ETL experience
Scalability: You’ve dealt with big data before
Proven track record of deploying the appropriate pieces of data design techniques to solve a wide range of complicated problems
Significant experience with database design and data modelling OLAP on multiple platforms (Oracle, MySQL, Teradata, Vertica, Redshift)
Familiarity with Cassandra and Spark a bonus
Hadoop, MapReduce, Amazon EMR/Kinesis experience a plus
Ability to work well with technical partners as well as business end users
A bachelors or master’s degree where you have developed advanced programming skills, and are open to learning new languages where needed
Skills to develop and prototype solutions and proof of concepts for the infrastructure to support selected solutions

Senior Data Engineer Resume Examples & Samples

Design, develop and orchestrate data pipelines for real-time and batch data processing
Design optimal storage, data structures, and retrieval mechanisms for data at rest in Data lake and Analytics data store or data in motion for real-time processing requirements
Collaborate with upstream sources and downstream consumers to come up with expandable data contracts
Design and develop Rest APIs/ or web-service consuming clients for data push/pull for both upstream and downstream applications
Own all processed data (QA/Prod) and act as Level 3 support for production issues. Profile data and assist in root cause analysis
Develop automation scripts for deployment, continuous integration, and continuous testing
Collaborate with data team, product owners, Scrum-master to refine and estimate stories/epics
Be integral part of scrum team to deliver on commitments on time and with good quality
Computer Science/Engineering Bachelor’s degree or equivalent
7+ years of experience or Masters degree in relevant field with 5+ years experience in Data engineering/ Big Data
Expert at SQL and query performance tuning
Experience with columnar storage and MPP/Analytical DBs (Redshift, Netezza, GreenPlum, Teradata)
Expert Python skills. Experience with bash scripting and one or more of java/Scala/node.js
Solid understanding of distributed programming and experience with EMR or Hadoop
Deep knowledge of Spark and PySpark
Experience Kafka/Kinesis/Flume
Deep understanding of AWS services, and security and how they can be combined to design scalable cloud solutions
Familiar with github or any other source /version control and understand concepts of continuous integration and deployment. Experience using any one automated deployment tool (Jenkins preferred)
Experience designing DAGs using AirFlow/Luigi/AWS Data Pipeline. (AirFlow preferred)
Detail oriented. Strong prioritization skills and sense of urgency
Strong analytical and problem solving skills. Takes pride in efficient designs and accurate results
Objectively analyzes the pros, cons, and the tradeoffs of a design path and helps the team to arrive at the most optimal solution, which may not be their own
Loves to learn and experiment with new technologies and shares findings with the team
Effective team player. Honest and respectful of others
Data warehousing experience is preferred
AWS Certifications
Functional programming
Experience with Apache Storm (Or any CEP tool) is nice to have
Familiar with agile development and sprints
Experience with at least one ETL tool (Informatica Cloud, Talend, etc.)
Familiarity with machine learning and data analysis packages is nice to have SciPy/NumPy/MatplotLib, R, SAS, SPSS but not required
Familiar with how reporting software work (Tableau/MSTR/SSRS etc.)

Senior Data Engineer Resume Examples & Samples

Solid RDBMS operational knowledge with outstanding SQL skills
Ability to transform raw, noisy log level data into useful business fact tables
Solid database design skills
Computer Science expertise – algorithms, data structures, software engineering
Web development expertise (Java, JavaScript, CSS)
Ability to understand and communicate business needs
Ability to come up to speed quickly in order to understand and coordinate the work of domain experts – in particular the ability to work effectively with the Machine Learning team
Strong sense of responsibility: taking pride in your work, leveraging others, owning the problem
And you love, and we mean love, data
LI-RF1

Senior Data Engineer Resume Examples & Samples

Experience with Hadoop, Hive, Vertica, Spark, Presto is highly desired
Strong experience developing and launching efficient and reliable ETL pipelines to move data
Strong experience creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics
Experience handling structured and unstructured data from internal and third party sources
Demonstrated ability to think strategically about business, product, and technical challenges
Experience developing scripts and tools to enable faster data consumption
Experience partnering with multiple teams in high visibility roles and owning end-to-end data solutions
Experience with ETL and business intelligence tools
Familiarity with Kimball’s data warehouse lifecycle
Experience with SQL and Hive is a must
Scripting experience with Python is highly desired
Passion and ownership over everything you ship; you'd never call code "released" until you’re confident it’s correct, monitored, documented, and tested
Team player. You rely on others' candid feedback for continuous improvement

Senior Data Engineer Resume Examples & Samples

Fluency in SQL and relational databases (e.g., PostgreSQL, MySQL, or Oracle)
Fluency in Dimensional Data Modelling (Ralph Kimball style)
Strong operational experience with Data Warehouse systems larger than 50 Tb
Experience using Linux/Unix
Experience with cloud technologies (such as AWS)
Experience with deployment, continuous integration technologies, container technologies (such as Docker), and source code management (such as Git)

Senior Data Engineer Resume Examples & Samples

Design a Data Lake that will be the central source of truth
Design scalable and reliable solutions for moving data efficiently across systems from various internal and external data sources in both, batch and real-time modes
Interface directly with business and process partners to understand their needs and objectives first-hand
Provide training on how to interpret and use data for business analysis
Provide coaching, direction and leadership support to team members in order to achieve partners, business and customer results
Identify and communicates key responsibilities and practices to ensure the immediate team of direct reports promotes a successful attitude, confidence in leadership, and teamwork to achieve business results
Proven problem solving skills – ability to assess a specific business scenario and develop an appropriate technical approach to support the desired business outcomes
Self-motivated, highly organized, and able to prioritize and manage multiple tasks
Project Management skills-ability to manage complex data oriented program to produce on-time results and recommendations for action/next steps
Strong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners
Extensive experience (3+ years) with designing and implementing Data Lakes or similar solutions
Extensive experience (3+ years) with the Big Data technologies: Hadoop (preferred - Cloudera), Hbase, Hive, Sqoop, Oozie and Azkaban
Experience with Spark, Impala, Kafka, Pig, Zookeper, Flume, and Streaming
Experience working with ERP data, preferably with JD Edwards
Experience with ETL tools such as IBM IIS 11.5
Understanding of, and expertise in schema-on-demand patterns
Must have a proven track record of working with Senior and C-level executives
Strong experience with data & information architecture: dimensional data modeling & schema design in Data Warehouses, service design, development & implementation for ingestion and consumption
Good understanding of the storage solutions (cloud, hybrid, on-premise)
Understanding of the agile software development methodology Scrum
Exposure to Unix/Linux
Strong experience with the distributed cluster management

Senior Data Engineer Resume Examples & Samples

The individual will be responsible for design and development of high-performance data architectures which support data warehousing, real-time ETL, and batch big-data - processing
She/he is responsible for developing test plans and test cases for software components
The individual will participate in development efforts using Agile development frameworks such as Scrum or Kanban
The individual will interact with Project Managers, Product Owners, Architects and R&D Leadership on project scope, timeline, risks and budget
She/he is accountable for the development of one or more informatics modules as assigned on individual programs
The individual will work as part of cross-functional teams in Global Marketing, Research & Development, Information Technology, Quality, Operations, Regulatory and Business Development to deliver informatics products
She/he will work with a broad range of technologists and support personnel both within and outside of Abbott
Data Modeling
SQL/NoSQL development

Senior Data Engineer Resume Examples & Samples

Design, build, and maintain all parts of the data pipeline to support gamer behavior analysis and device telemetry (requirements understanding, data enrichment, data modeling)
Build a deep understanding of our products and become the de-facto expert on all analytics data collected
Take a lead role in evolving our data engineering architecture, leveraging new technologies like Spark, and more traditional big data technologies such as Pig
Provide advice and education in the usage and interpretation of subject area data within the Analytics team, as well as other teams within Epic
Champion better cross-functional data integration efforts, both upstream and downstream
Detect data quality issues, identify their root causes, implement fixes and design data audits to capture the issues in the future
Minimum 5 years of experience in a data-driven information environment, designing and implementing analytic/data warehousing systems, ideally in a video gaming context
Detail-oriented and comfortable working with requirements that are open-ended
Experience in ETL development, methodology and tools, particularly in the Hadoop ecosystem (Hadoop, Hive, Presto, MapReduce, Kafka, Spark, etc)
Expertise in one or more programming languages (Java preferred, Python, or Scala beneficial)
Extensive experience using SQL
Experience with complex data types (JSON, XML)
Familiarity with data modeling
Comfort with software development methodology around unit testing, performance tuning, integration testing, etc
Experience across different database platforms, including MPP ones such as Redshift or Teradata
Experience with Amazon Web Services platform offerings, particularly Elastic Map Reduce
Experience in real-time data processing
Passion for video games and/or video game technology

Senior Data Engineer Resume Examples & Samples

Be a crucial contributor to our Librato’s backend architecture
Help drive the next generation of our product
Work with massive real-time data sets
Continually improve availability, scalability and performance of the product
Be involved in selecting and driving the development of a micro-services platform
Explore and evaluate cutting-edge distributed systems technologies
Come up with creative solutions to solve tough scalability and performance problems
Work with a distributed team of engineers across all layers of the product
Improve and maintain applications in Java, C++, Ruby, and Golang
3+ years of scalable and highly-available distributed systems with Java or C++
Comfortable with using and reasoning about concurrency primitives
Passion for exploring emerging frameworks, libraries, technology stacks
Experience with ZooKeeper, Dropwizard, Kafka, Cassandra
Understand the importance of metric instrumentation
Experience with building and consuming REST APIs
Experience with highly-available (noSQL) data stores
Comfortable debugging network, disk, performance bugs in complex distributed systems
4+ years of relevant engineering experience
Git and Maven savvy

Senior Data Engineer Resume Examples & Samples

You will support scalable, technically viable, and best-in-class data solutions for a growing Data and BI infrastructure
You’ll deliver technical engineering software, solutions, processes and team projects
You will help with task definition and acceptance criteria for the implementation of solutions within the Data and BI team
You will develop the data services necessary to facilitate projects undertaken by the Data and BI team
You’ll provide technical guidance on how to leverage the company’s Data and BI Platform(s), architecture and schema
You are a strong communicator with the ability to craft a full range of clear, high-impact communications to audiences of all levels & backgrounds
You’re able to establish and build close working relationships with a wide range of individuals
You have experience in structuring and managing cross company programs & projects inclusive of effective status reporting, issues identification & resolution
You can effectively manage “virtual teams” and 3rd
You’re able to break down complex problems in a simplified way and develop creative solutions
You can analyze poorly defined areas and processes within a cross-functional organization
7+ years data engineering and technical data analysis experience (machine learning experience a plus)
Proven ability to work with varied data infrastructures (relational databases, column stores, NoSQL, file-based, other)
Expert level proficiency in SQL and ability to perform complex data analysis with large volumes of data
Intellectual curiosity and proven analytical and quantitative problem solving skills
Prior development experience in Python, PHP, Javascript, and/or Java
Experience in object-oriented programming, real-time data pipeline construction (like Kafka)
Integration experience with 3rd party applications & API's
Understanding of multi-product business, SaaS based business, and enterprise B2B market dynamics preferred
Experience with high growth companies and companies $500M+ in revenue is preferred

Senior Data Engineer Resume Examples & Samples

Eat, sleep, and breathe data . You have experience balancing timelines, feature delivery, and retirement of technical debt
Partner with product owners and customers to understand requirements, propose viable technical solutions
Interface with partners teams to define requirements, interfaces, data feeds and implementation approaches
Design and implement next-generation Data Analytics Web Application
Optimize performance and troubleshoot complex multi-threaded, multi-system related issues

Senior Data Engineer Resume Examples & Samples

Design, build and deploy ETL and data management processes
Develop and deploy ETL job workflow with reliable error/exception handling and rollback framework
Provide production support for data load jobs
Write customized query to generate automatic periodic reports
Document data architecture requirements and QA guidelines
Build applications writing SQL scripts to manipulate data and / or writing specific instructions for an off-shore programmer to write the scripts
Maintain or upgrade existing applications
Contribute to technical discussions regarding software / process design and interfaces, along with complying to best practices
Attend key design meetings and provide support
Other ad hoc duties
Bachelor’s degree in Computer Science, Engineering, Mathematics or other technical field is highly preferred
Good communication and written skills
SSIS ETL experience
Advanced understanding of the SQL Server technology stack, database design and programming
Use of Data Profiling Tools, ETL and Data Management Tools
Data warehousing/data modeling experience
Knowledge of Agile methodology
Experience with the full development life cycle of an application stack - from architecture through test and deployment
Able to deliver a broad range of data engagements in areas such as Data Architecture, Data Integration, Data Analytics, Data Lineage, Data Governance, Data Quality and BI Reporting
Understanding of data analysis techniques and how they can be applied in the marketing context beneficial
SSAS experience using MDX & DAX
Experience with TFS (or similar) for source code management

Senior Data Engineer Resume Examples & Samples

The Analytic Data Scientist creates solutions for the business by recommending ways to bring data to life to solve business problems
We are a shared service for the entire company and operate in several key areas
Business Analytics: Using advanced modeling and simulation techniques to optimize the performance of our business units
Forecasting, Attribution modeling, Text mining, Spatial analytics, and other advanced techniques are applied to solve real-world business problems
Marketing Analytics: Using advanced modeling to understand consumer behavior to both enhance customer experiences as well as improve our marketing program execution and design
Utilize formalized program evaluation methodology to determine marketing program effectiveness
Conduct customer level modeling to customize communication and marketing offers
Strong collaboration and communications skills
Strong problem formulation and problem solving skills
Candidates should have experience with tools in each of these areas (not necessarily all software packages, but some from each group
Data gathering skills/tools (e.g. SQL, Hadoop, Teradata)
Modeling skills/tools (e.g. R, SAS, Matlab, etc.)
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
Strong capabilities on Test Design and Measurement
Strong academic background with graduate training in Statistics, Economics/Econometrics, Operations Research, or related fields
Survival Analysis applied to consumer behavior, or warranty data

Senior Data Engineer Resume Examples & Samples

Contributing to the development of our consolidated and optimized datasets
Designing and building new reports and dashboards
Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field
Strong experience with reporting tools like Tableau or other reporting packages
Demonstrated ability in ETL development
Demonstrated ability in writing and tuning SQL scripts
Demonstrated ability to manage and prioritize workload
Master’s Degree in Business, Engineering, Statistics, Computer Science, or Mathematics
Experience using very large datasets
3+ years prior experience in a data engineering or BI role with a technology company or financial institution
Knowledge of scripting for automation (e.g., Python, Perl, Ruby)

Senior Data Engineer Resume Examples & Samples

Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Tune application and query performance using profiling tools and SQL
Analyze and solve problems at their root, stepping back to understand the broader context
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS
Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
8+ years experience in dimensional data modeling, ETL development, and Data Warehousing
SQL performance tuning
Basic DBA tasks
Experience with Redshift and other AWS services
Knowledge of a programming or scripting language (R, Python, Ruby, or JavaScript)
Strong organizational and multitasking skills with ability to balance competing priorities
An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm

Senior Data Engineer Resume Examples & Samples

Mentor and develop business intelligence and data engineers
Develop and improve the current data platform and architecture for Prime Now including AWS Redshift, Oracle and Looker
Improve upon the data ingestion models, ETLs, and alarming to maintain data integrity and data availability
Partner with analyst and research science teams across Prime Now supporting product management, operations, regional business managers and engineering to build and verify hypotheses to improve the business performance
6+ years of experience developing data management systems, tools and architectures using SQL, databases, Redshift and/or other distributed computing systems
Familiarity with new advances in the data engineering space such as EMR and NoSQL technologies like Dynamo DB
Track record for quickly learning new technologies
Solid experience in at least one business intelligence reporting tool, like Tableau or Looker

Senior Data Engineer, Display Ads Resume Examples & Samples

7+ years of professional experience in statistical analysis, data modeling, and data mining
Bachelor’s degree in Computer Science, Machine Learning, Operations Research, Applied Mathematics or related technical field
Expertise with SQL and relational database systems
Experience in data mining, ETL, SQL etc. and using databases in a business environment with large-scale, complex datasets
Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams
Ability to work with shifting deadlines in a fast paced environment
MS in Computer Science, Machine Learning, Operations Research, Applied Mathematics or in another highly quantitative field
Fluency with business intelligence and visualization software (e.g., OBIEE, Tableau Server, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Experience with Python, R, Matlab/Octave or similar advanced data analysis programing language for development of basic Machine learning scripts
Ability to distill problem definitions, models and constraints from informal business requirements, and to deal with ambiguity and competing objectives

Senior Data Engineer Resume Examples & Samples

5+ years of working with large data sets and strong data analytical skills to identify patterns/correlations
Strong SQL skills and data modeling skills to deal with complicated datasets
5+ years of BI reporting tool experience. Tableau and Excel is preferred

Senior Data Engineer Resume Examples & Samples

A desire to work in a collaborative, intellectually curious environment
Degree in Computer Science, Engineering, Mathematics, Physics, or a related field and at least 6 years work experience
6 years minimum Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
Demonstrated ability in data modeling, ETL development, and data warehousing
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Senior Data Engineer Resume Examples & Samples

Help drive a best-in-class data engineering practice that will be leveraged across client
Designs and documents conceptual/logical models and implementing physical models
Proficient in using data modelling tools, such as Power Designer or Erwin.Search Jobs US

Senior Data Engineer Resume Examples & Samples

Provides database administration services to projects creating, extending or maintaining databases, data warehouses and datamarts
Debugs database components, identifies, fixes and verifies remediation of design and/or performance defects
Performs ongoing refactoring of database design and continuously improves product to follow data placement procedures and re-use of existing databases as appropriate
Ensure optimal data replication, performance, High Availability, backup and recovery processes exists to meet requirements, reduce cost and adhere to standards
Participates in development of plans and strategies, best practices, and standards related to data management processes, data products, data security and programs
Functions as leading member of an agile team and manages data assets as per the enterprise standards, guidelines and policies
Typically spends 60% of time in database development and testing and remainder of time collaborating with stakeholders through ongoing product/platform releases
Communicates and works collaboratively with business and product teams to support changes and implementation
Works with product team to prioritize features for ongoing sprints and managing a list of data requirements based on industry trends, new technologies, known defects, and issues
Partner with delivery architects and engineers to design optional data tier solutions to meet platform objectives and goals
Stays abreast of new DBMS features and functions and drive adoption across Amex to leverage product capabilities
Influence vendors to provide solutions and features to meet Amex needs
Identifies opportunities to adopt innovative technologies
Leads and mentors teams of junior and senior data engineers through ongoing development efforts
Ensures Data Engineers adhere to SDLC standards
Ensures timely completion and quality of all documentation and deliverables produced by Data Engineering team
Ensures Data Engineering team delivers a quality product that meets the defined Acceptance Criteria
5+ years of database development experience in a professional environment and/or comparable experience such as
Demonstrated experience leading teams of Data Engineers and Data Architects
Hands on expertise with design and development across one or more database management systems (e.g. IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza(PDA/DB2AA)) as appropriate
Experience with distributed (multi-tiered) systems, algorithms, and application development

Senior Data Engineer Resume Examples & Samples

Support ad-hoc requests for data queries as well as support larger data integration projects
Accurately forecast storage and processing growth requirements over time
Assist with the active management/coordination of IBM contracted resources to perform operations functions
Research Data Architecture industry best practices and ability to influence/implement where applicable
3+ years (minimum) experience with database administration in a large scale/complex environment
Other desired skills: HADR, Q-replication, Data Studio, Toad for DB2, Erwin, Optim Performance Manager, AEDC
Team player with a positive attitude, willingness and aptitude to learn
Good understanding of infrastructure, networking and broad knowledge of other common information technology topics

Senior Data Engineer Resume Examples & Samples

Extensive experience with Java and elegant coding patterns
Expert level development tool experience: Git, JIRA, wiki, Bamboo/Jenkins, Slack, Jupyter
Proven scripting: Bash, Python etc
Knowledge of cloud first architecture patterns - preferably AWS
Advanced SQL and relational database design
Strong analytical skills for effective problem solving
Additional Languages: Python, Cloud Formation, JavaScript, HTML 5, R
Frameworks & libraries: Spring, Spring MVC, Twitter Bootstrap, AngularJS
Experience with NoSQL datastores, Including MongoDB, Neo4J, RedShift and Cassandra
Experience with search indexes: ElasticSearch, Lucene, Solr, Sinequa
Experience with Hadoop and Map Reduce concepts
Experience with Docker, container orchestration and general Linux
Familiarity with the Life Sciences domain
Agile team work: The Senior Data Engineer will fully understand the value of Agile Scrum/Kanban and take an active role in following the discipline Agile forces on the development cycle. The individual will work hard to see the team achieve high results. Able to build constructive tension with IT partners to achieve results
Communication: The Senior Data Engineer will have clear, concise and strong written & oral communication skills

Senior Data Engineer Resume Examples & Samples

Work in a time constrained environment to analyze, design, develop and deliver Enterprise Data Warehouse solutions for Tesla’s Finance and Accounting teams
Work on ETL tools like SSIS and Informatica, Business Intelligence & Reporting tools like SSRS, SSAS and Tableau
Work with systems that handle sensitive data with strict SOX controls and change management processes
Develop collaborative relationships with key business sponsors and IT resources for the efficient resolution of work requests
Provide timely and accurate estimates for newly proposed functionality enhancements
Perform root cause analysis and resolution of issues with reports and data models often in a mission critical situation
Communicate technical and business topics, as appropriate, in a 360 degree fashion, when required; communicate using written, verbal and/or presentation materials as necessary
Develop, enforce, and recommend enhancements to Applications in the area of standards, methodologies, compliance, and quality assurance practices; participate in design and code walkthroughs
Utilize technical and domain knowledge to develop and implement effective solutions; provide hands on mentoring to team members through all phases of the Systems Development Life Cycle (SDLC) using Agile practices

Senior Data Engineer Resume Examples & Samples

Own all things data
Keep your head in the Cloud. Design, develop, and implement Big Data platforms using Cloud architecture
Utilize state-of-the-art methods for data mining
Understand and execute when you need to extend IVZ data with third party sources of information
Clean data is happy data. Process, cleanse, and verify the integrity of data used for analysis
Perform ad-hoc analysis and present results in a clear manner, selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Monitor performance and advise of any necessary infrastructure changes
Help to define data retention policies and strategies
5+ years of experience with top-tier firms in big data analytics, management consulting, or comparable role in corporate setting
4+ years of experience with machine learning
4+ years of experience with SQL
4+ years in financial services preferred
Experience with data visualization tools, a plus
Experience with big data technologies such as Hadoop, R, and Java / MapReduce
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB
Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and / or Google Cloud
Familiar with Agile software development (Scrum is a plus)
DevOps knowledge is a plus
You can bring clarity to chaos and you’re comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
Strong analytical and critical thinking skills
Autonomous personality. We’ll help guide you, but we won’t micromanage you. We expect integrity and results. Your work and deliverables will speak for themselves
Enjoy challenging and thought provoking work and have a strong desire to learn and progress
Ability to manage multiple tasks and requests
Must demonstrate a positive, team-focused attitude
Ability to react positively under pressure to meet tight deadlines
You listen to the input of your team members and take diverse perspectives into account to approach challenges from multiple angles
Structured, disciplined approach to work, with attention to detail
Flexible – able to meet changing requirements and priorities
Maintenance of up-to-date knowledge in the appropriate technical areas
Able to work in a global, multicultural environment

Senior Data Engineer Resume Examples & Samples

Design, develop, implement, test, and operate large-scale, high-volume, high-performance data lake and warehouse
Create ETLs/ELTs to take data from various operational systems and create a unified/enterprise data model for analytics and reporting
7+ years of experience in designing and operating very large Data platforms
Strong Data Warehousing skills, including: Data cleanup, ETL, ELT and handling scalability issues for enterprise level data warehouse
Experience in data modeling and transformation of large scale data sources using SQL, Redshift, Hadoop, Spark, Hive, EMR, or other Big Data technologies
Exposure to at least one reporting tool like Qlikview, Tableau, OBIEE, MicroStrategy etc
Experience in evaluating various technological solutions to solve business requirements
Familiarity with media industry

Senior Data Engineer Resume Examples & Samples

Knowledge of application and transport layer protocols (HTTP, LDAP, SSH, TCP, UDP, etc)
Experience extending and implementing core functionality and libraries in data processing platforms (Hive/Pig UDFs, Spark / Spark SQL, ELK, Storm Bolts, etc)
AWS & Cloud Security knowledge
Applied cryptography and key management
Solid understanding of authentication, authorization, and directory services
Expert SQL skills

Senior Data Engineer Resume Examples & Samples

60% Development, Testing, and Quality
Perform integration development to move data from production systems to database/data warehouses using ETL tools
Develop technical solutions
Support testing by fixing defects and making necessary back end design changes
Ensure adherence development and architecture standards and best practices
Provide necessary technical support through all phases of testing and incident handling after deployment
Provide support for product solutions as part of a DevOps model
30% Solution Analysis & Design
Work with businesses, process owners, and product team members to design solutions for Cargill’s big data and Advanced Analytics solutions
Perform data modeling and prepare data in databases for reporting through various analytics tools
Create or modify design documentation as defined by team development standards, processes, and tools
Ensure the solution designed and built is supportable as part of a DevOps model
10% Business Partnering and Relationship/Service Management
Provide technical expertise in collaborating with project and other IT teams, internal and external to Cargill
Plays a technical specialist role in championing data as a corporate asset
Take on technical leadership roles within the team, including project leadership, design leadership, and mentoring
Bachelor’s Degree or equivalent or 7+ experience in: Computer Science, Information Systems, Engineering or Quantitative field
5+ years of application development or data warehouse experience, including: analysis, technical design, coding, testing, deployment, and transition to support
2+ years of experience working with end to end software development (agile/scrum experience preferred)
2+ years of experience deploying solutions through formal change control processes
Comfortable scripting in *NIX environment (ssh and standard commands)
Curious about data and passionate about the business value of big data and advanced analytics
Agile, quick learner of new technologies
Ability to work well in cross-functional teams and foster team commitment to meeting objectives
Proactive, creative problem solving skills in ambiguous and changing environments
Strong data modelling and query writing skills
Skills building tables/views or data warehousing on Oracle or MS SQL Server environments
Skills and/or experience developing database programming on Oracle or MS SQL Server
Understanding of structured data, dimensional models or cubes and various forms of ETL for reporting
Experience preparing data for use in analytics and reporting
Familiarity with unstructured data
Familiarity with object oriented programming
Business fluency in English
3+ years of experience developing in SAP HANA, SAP BW, Oracle, or SQL Server
Experience building Big Data Solutions using a secure Hadoop environment and NoSQL technology
Experience data modeling using ETL/ingestion tools: SLT, Streamsets, Business Objects Data Services (BODS), Sqoop, and Flume)
Advanced in at least one functional programming language
Experience with scripting languages (SQL, Scala, Pig, Bash/Python) to manipulate data
Experience in a JVM language
Experience working with front end visualization tools like Power BI, Tableau, and Business Objects
Experience with NoSQL data stores (especially Cassandra)
Experience with Spark, Hive, Impala
Experience with Kafka
Understanding of object-oriented and functional programming paradigms
Contributions to large open-source projects
Version control, particularly Git

Senior Data Engineer Resume Examples & Samples

Maintains data architectural artifacts and ensures that all measures for data quality, data profiling, data governance, ITIL, security and compliance of data are adhered to
Perform a variety of in-depth data analysis, data modeling, and data design tasks on datasets. Responsible for design and development data engineering solutions with experience in data modeling, logical and physical design, and ETL
Knowledge of data warehousing principles and processes including data modeling, logical and physical database design, transformation and loading. Designs, profiles, develops, and tests data engineering solutions using multiple ETL /MDM tools that move data from disparate source/target systems and the enterprise information repositories
Proficient in SQL and ETL processes, ETL and DB performance tuning, table partitioning, shell scripting. Works with Product Owners, and Business SME to identify requirements and drive ingestions standards consistent with business processes
Work with Business Analysts, Product Owners, and Business SME to identify requirements and consolidate enterprise data model consistent with business processes
Drive innovative and creative solutions to drive cutting-edge analytics from the Data Lake
Experience as a techno-functional senior analytic consultant with a background in Analysing Financial metrics including data discovery and exploration
Experience with end user facing interactions in scoping and requirements gathering
Experience in an enterprise environment with data management and analytics responsibilities
Multiyear Experience with one or more of the software tools listed below

Senior Data Engineer Resume Examples & Samples

Develop data loading/ ETL processes for the Hotels.com/ Expedia Hadoop environment
Provide support and guidance to more junior developers
Contribute to evolution of development standards and design patterns
Work with business stakeholders to deliver on requirements in an agile manner
Deploy and maintain applications in production environments
Knowledge of Acquisition Marketing (Search-Engine Marketing, Meta Search)
Experience dealing with large and/or complex data sets
Unit-testing frameworks (JUnit, Mockito etc) and Test-Driven Development
Maven
Cloud solutions, particularly Amazon Web Services
Massively parallel (MPP) database systems such as Teradata
Falcon

Senior Data Engineer Resume Examples & Samples

Engineer, scale, maintain, and monitor end-to-end multichannel customer data pipelines, integrations, and applications
Engineer real-time data feeds and microservices leveraging AWS Kinesis, Lambda, Kafka, Spark Streaming, etc. to enhance useful analytic opportunities and influence customer content and experiences
Evolve our batch Hadoop data and query processes toward central unified real-time logging and microbatching
Research and architect solutions to data quality issues
Automate all of the above where possible to further improve code, application, and data quality (we love Slackbots)
Be a technical subject matter expert for proprietary analytics efforts
Support ATO engineers, analysts, system administrators, and project managers in designing, building, deploying, and capturing effective metrics
Support Nordstrom engineers, business and technology partners, and project stakeholders, contributing to both internal and external open source projects and standards
Maintain current knowledge of industry trends and developments
Lead development and deployment patterns and best practices through code contributions and reviews
Help your teammates (and yourself!) grow by fostering open, positive discussion and experimentation with developing projects, frameworks, tools, systems, and standards. (Participation in local meetups, conferences, and technology groups is highly encouraged.)
6-10 years professional experience in JavaScript/HTML/CSS minimum
6-10 years professional experience with database-driven commercial websites
4-6 years experience with a server scripting language (node, Python, Java, Scala)
3-4 years experience with test and build automation tools (Selenium, PhantomJS, Casper, npm)
2-4 years experience with a structured query language (PostgreSQL preferred)
2-4 years experience with Test- and Behavior-Driven Development (Mocha, Chai, Cucumber, etc.)
2-4 years experience with cloud infrastructure and ops desired (AWS)
Git pro
Experience working with agile frameworks and processes (e.g., Scrum, Kanban)
Strong problem-solving and troubleshooting skills
Desire and ability to train and share knowledge with other technical teams
A bachelors degree or better in Computer Science, Management Information Systems and/or equivalent experience

Senior Data Engineer Resume Examples & Samples

Harness data from real-time feeds and microservices leveraging AWS Kinesis, Lambda, Kafka, Spark Streaming, etc., recommend and design ideal data stores for different business purposes
6-10 years professional experience in enterprise database administration, management, and query languages (PostgreSQL preferred)
4-6 years experience with a server scripting language (Python, Scala)
2-4 years experience with DAG runners (Luigi, Airflow) and CI/CD environments (Mesos, Kubernetes)
2-4 years with large data processing engines (Hadoop, Spark, Hive, Pig, Spark Streaming)
Proficient experience in dimensional modeling, data management, data analysis, and semantic layer design
Proven track record on leading all phases of designing and implementing data warehouse systems, from gathering requirements to data modeling, and from developing ETL to building test cases
Managed massively parallel processing MPP platform in a DevOps environment

Technical Lead-senior Data Engineer Resume Examples & Samples

Data storage – experienced in implementing Big Data technologies successfully in an enterprise
Knowledge discovery – advanced knowledge in entity and relationship extraction from unstructured data
Data governance – experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls
Data analytics – strong backgrounds in statistics, machine learning and similar technologies
Data visualization – knowledge of tools that are cost-effective and make it easy for end users to better understand and produce reports and graphs
Hadoop Administration - Contribute to the evolving architecture to meet growth requirements for scaling, reliability, performance and security
4-8 years hands on experience with big data tools such as Hadoop, Cassandra, Kafka, Storm, Spark etc
Experienced Java/Scala engineer
Flexible, self-motivated, problem solver who can work both individually as well as an effective team player with excellent attention to detail and great interpersonal skills (both verbal and written)
Be willing/able to work crossing boundary to reach best fit solution in real world cloud service

Senior Data Engineer Resume Examples & Samples

Expert knowledge of SQL/Hive
Experience with NoSQL data stores a plus
Passion for working with big data
Experience building large-scale distributed systems or applications
Optimize table schemata based on usage patterns
Lead development of architecture and standards for a business metric warehouse
Work with data scientists to develop a scalable data visualization platform

Senior Data Engineer Resume Examples & Samples

Gathering functional requirements, developing technical specifications, and project & test planning
Helps to align to overall strategies and reconcile competing priorities across organization
Designing/developing schema definitions
Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging data and design problems
Designing/developing ETL jobs across multiple platforms and tools including Hadoop, Vertica,
Roughly 70-80% hands-on coding
Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
Work cross-functionally with various Intuit teams: Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers
Contribute to the design and architecture of project across the data landscape
Experience with Agile Development, SCRUM, or Extreme Programming methodologies
5-8 years experience developing DB schemas, creating ETLs, and familiar with Hadoop/MPP systems
BS/MS in computer science or equivalent work experience
Strong experience with the following languages/technologies: SQL, Python scripting
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non- technical audiences
Strong understanding of the Software design/architecture process
Experience with unit testing and data quality automation checks
Preferred Mindset
Communication is king
Goals and design principles guide your decisions
How you achieve a result is equally important as the result itself
Data will answer any debate
Mistakes are common, just don't learn the same mistake twice
Anything can be learned

Senior Data Engineer Self-service Analytics FDL Resume Examples & Samples

Responsible for the requirements, development, testing, and implementation of data engineering solutions, including data modeling, data quality, and semantic/metadata development
Works with Product Owners, and Business SME to identify requirements and drive analytics standards consistent with business processes
Demonstrate proficiency with data modeling concepts and tools (e.g., ERWin, ER Studio, etc.) to model and implement data access layers for reporting, data discovery, metadata management, and data services
Able to communicate to both highly technical and non-technical stakeholders effectively
Bachelor's Degree in Computer Science, Finance, Data Analytics or equivalent
Experience with end user facing interactions in scoping and requirements gathering. Experience in an enterprise environment with data management and analytics responsibilities
Proven hands-on experience with market-leading data analytics and discovery tools
Strong understanding of Big Data / Hadoop, RDBMS, Data Warehousing, Analytics, Business Intelligence, Data Integration (ETL, EAI), and Data Replication

Senior Data Engineer Resume Examples & Samples

Perform ETL/ELT tasks, work flows, both real-time and batch
Work with a wide variety of big data related technologies such as Elasticsearch, Kafka/Confluent platforms, Spark, Storm, Flume, Sqoop, Oozie, Snowflake, Talend, among others
Work on cloud platforms like GCP BigQuery, AWS Lambda, Kinesis, AWS EMR, etc
Build world class data pipelines and highly performant data transformations
At least 3 - 5 years of big data work experience
Degrees preferably in computer science, applied mathematics, or other IT and Engineering disciplines
Experience with open source tools
Very strong programmer (in Java or Scala), knowledge of Python or R is a plus
Working knowledge of SQL and manipulating large structured or unstructured datasets for analysis
Working knowledge of at least one of Tableau, Kibana/Grafana, MSTR, Looker, SSRS
Strong architecture background
Well versed with various computer science/programming algorithms

Senior Data Engineer Resume Examples & Samples

Provide mentoring / coaching to junior developers
Receive and adhere to project delivery deadlines
Migrate code across environments and leverage a source code management system
Proficiency in traditional RDBMS with an emphasis on SQL Server, Postgres, and MariaDB
General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operation
Generally proficient in performing data transformations via scripting, stored procedures, or an ETL framework
Good understanding of the 4Vs of data and development strategies for accommodating them in integration
Proficient in developing and supporting all aspects of a big data cluster: Ingestion (rsync), Processing (Apache Nifi), Parsing (Java), integration (Python, Spark, Scale and PIG), data movement (SQOOP), workflow management (OOZIE and ActiveBatch), and querying (HIVE and Impala)
Reasonably Proficient in writing Apache Spark including an understanding of optimization techniques
Strong foundational experience with SQL
4+ years of Data Integration experience
4+ years of hands on experience with one of the

Senior Data Engineer Resume Examples & Samples

Ability to integrate and structure the data so there are linkages from multiple sources
Identify the best tools for team to use to access and analyze the data
Analyze data for trends and support the team to report on those trends
Ability to help team create automated data visualization dashboards for reporting
Ability to review our current data structure and recommend the right Infra solution if needed
Performs all technical aspects of data architecture and database management including developing new database structures
Leads in development of plans and strategies, best practices, and standards related to data management processes, data products, data security and programs
Communicates and works collaboratively across multiple teams to support changes and implementation
Works with team to prioritize features and managing a list of data requirements based on industry trends, new technologies, known defects, and issues
Partner with delivery architects and engineers to design optional data tier solutions to meet enterprise platform objectives and goals
Agile Practices
SDLC Methodologies and Practices
Business Analysis
Analytical Thinking

Senior Data Engineer Resume Examples & Samples

Partners with analytic modelers and data scientists to understand each business opportunity or problem. Develops a plan to acquire the data necessary to conduct the project
Data access. Develops working knowledge of the diverse set of databases, data stores and reservoirs containing client data. Masters the tools, programming languages and processes to access the data
Data expert. Develops subject matter expertise in available customer data. Provides advice and documentation on the use of data in analytics
Data wrangling. Develops queries and performs extensive programming to access, extract, transform, integrate and prepare data for statistical modeling
Data due diligence. Assesses data quality. Investigates data and corrects issues in analytic datasets
Data transformation to bring information value to the surface and suppress data ‘noise’. Creates derived characteristics. Mines client level digital navigation to surface patterns, themes, needs and areas of customer struggle
Data automation. Identifies frequently requested analytic data and develops processes to automate provisioning
Model implementation. Implements model score calculation code and processes. Collaborates with IT teams on model implementation
Data training. Educates and develops junior data engineers on the team. QCs their work. Develops data engineering standards. Contributes expertise to other data expert teams
Thoroughly understands and complies with policies and procedures, especially those for quality and information security. Verifies deliverables meet these requirements
Undergraduate degree in related field. Graduate degree a plus
Eight years of experience focused on the use of data for business intelligence and analytics
Data wrangling expertise – Programming skills to access, transform and prepare large scale data for statistical modeling
Extensive experience extracting and integrating data from enterprise databases and data warehouses using Relational and Dimensional models. Experience mining unstructured data
Advanced knowledge of several of the following: SQL, SAS (Base, Macro), Python, FOCUS, EasyTrieve
Expert knowledge of multiple IT platforms: UNIX, IBM mainframe, Microsoft Windows
Experience with Oracle, DB2 and Hadoop preferred
Excellent requirements interviewing and technical coaching skills

Senior Data Engineer Resume Examples & Samples

Responsible for group-level systems management and exercises project-level control over initiatives
Excellent technical expertise in relevant state of the art database technologies, stores, systems, and design
Carries out assignments with minimal coaching and guidance from others
Develops, enhances and adheres to engineering and administration standards
Upholds and maintains strong documentation
The ideal candidate will have experience with Pubic Cloud providers like AWS and Google Cloud Services
Relevant non-relational database systems like MongoDB and Cassandra
4-6 years’ experience with RBDMS like PostgreSQL and MySQL
4 or more years of experience with relational database systems like PostgreSQL and MySQL on Linux
2-4 years experience with Linux Server platforms; Windows Server a plus
2-4 years experience with relevant scripting languages or programming frameworks desired (NodeJS, JavaScript, Python, perl, C, windows script;)
Expertise in database design and architectural principles and methodologies
Excellent systems documentation and system diagramming skills
Ability to partner with relevant software vendors to determine near-term, long-term business impacts of product updates on our technology portfolio
BS Degree or equivalent work experience

Senior Data Engineer Resume Examples & Samples

Degree in computer science/information systems, engineering or related field preferred; or a corresponding number of years’ experience in technical operations or software engineering
4 or more years of experience with relational database systems like SQL Server, PostgreSQL and MySQL on Linux
2-4 years experience with relevant scripting languages or programming frameworks desired (NodeJS, JavaScript, Python, perl, C, windows script; powershell)
Leads and completes tasks independently, with attention to detail and while under pressure
Excellent judgment, problem resolution, negotiation, and decision-making skills as well as the ability to work under continual deadline pressure
Identifies, analyzes, and drives problems to resolution, handling complex issues simultaneously while effectively communicating across teams
Builds team relationships across the organization
Effectively communicates technical actions and expectations to the appropriate audience
Delivers customer service excellence by knowing customer’s business needs, identifying appropriate technical solutions, and meeting/exceeding service expectations
Knowledge in 1 or more relavent areas including but not limited to: Cloud Computing, Internet Security, Hardware systems, Networking systems, Storage technolgies, Data Warehouse/Business Intellegence, Data Center Facilities, Ecommerce platforms are desired

Senior Data Engineer Resume Examples & Samples

Leads design, development, troubleshooting, evaluating, modifying, deployment and documentation of all data components (data architecture, logical and physical data models, database objects and database administration) that meet the needs of customer-facing applications, business applications, and/or internal end user applications
Leads and mentors teams of data engineers through ongoing development efforts. Ensures Data Engineering team delivers a quality product that meets the defined Acceptance Criteria
Demonstrated experience leading team of Data Engineers
Experience in working with business partners to understand data requirements Experience with validating and converting logical data models to Oracle/DB2 LUW physical data models
Experience in coordinating with multiple infrastructure and production support teams
Hands on expertise with design and development in DB2 LUW, Oracle
Extensive experience with database development and support of OLTP systems
Experience with Amex change and problem management processes
Knowledge of Agile methodology Knowledge of big data technologies and NOSQL design and coding with emphasis on Mongo DB
Business domain knowledge of americanexpress.com and Consumer Travel a strong plus
Bachelor’s Degree in computer science, computer science engineering, or related field required; advanced degree preferred

Senior Data Engineer Resume Examples & Samples

IT project leadership for multiple Data Quality initiatives by driving on-time, on-budget and quality project deliverables
Technically lead the team of developers driving on-time and quality project deliverable
Design & develop solutions using standard data migration methodology & tool-set for data extraction, mapping, scoping, transformation, validation & loads
Participate and support data mappings working with functional champions & IT teams
Own End-To-End program management of Migration and sunset of various legacy ERP systems
Partner with Technical teams to execute on the data quality initiatives, support multiple ERP Deployments across multiple geographies and manage technical teams with varied skills
Business systems analysis for existing application portfolio and new product development
Collaborate with shared services & support implementation of MDM strategy
Partner with functional teams to identify and execute on opportunities for data quality improvements, enhancements, standardization and simplification
Adapt & promote FastWorks and Lean Six-Sigma concepts
Develop, document, pull together, and maintain data quality goals and standards
Monitor compliance of information flows and data stores against data quality standards
Identify areas for data quality improvement and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies
Measure and report to management on the progress of data quality improvement
Coach & guide team members on functional understanding & technical execution
Provide data quality training and consulting services to others in the organization
Ensure completion project management methodology components/materials including: tollgate reviews, design reviews, code reviews, detailed functional specifications, UI Specification, detailed technical design documents and risk assessments
Leverage existing Data Quality templates, toolkits, best practices and CoE strategies in project deliverables
Manage service level agreements for both project and support contracts
Manage program / project financials
Focus on data management for acquisitions and divestitures
Must be able to work across multiple GE businesses and multiple functions, setting client expectations and delivering on them
Partner with business clients to LEAN Business Processes
SAP ABAP programming/Business Object/ Business Warehouse experience/exposure
GB/BB Certified
PMI Certified
Global Travel experience across geographies and cultures
Strong oral and written skills
Effective team player and facilitator
Strategic and Clear Thinking to translate discrete and complex ideas to business driven results
Detail orientation with a strong drive to enforce common standards
Proven ability to work in a matrix environment
Demonstrated customer focus - evaluates decisions through the eyes of the customer; builds strong customer relationships and creates processes with customer viewpoint
Strong analytical skills - strong problem solving skills, communicates in a clear and succinct manner and effectively evaluates information / data to make decisions; anticipates obstacles and develops plans to resolve

Senior Data Engineer Resume Examples & Samples

Undergraduate degree in related field or the equivalent combination of training and experience, with graduate degree, preferred
Eight years of software development, data analysis/mining or DBA experience
Strong negotiation skills
Excellent written and oral communication skills, including interviewing and presentation skills
Broad knowledge of the financial services industry
Advanced knowledge of one or more of the following: COGNOS Report Studio, Analysis Studio, Framework manager and Transformer, SAS, FOCUS, SQL, EasyTrieve, WEB Trends, Tea Leaf, EXCEL and MS Access
Extensive experience using one or more of the following data sources: Enterprise, Data Warehouse
Extensive experience mining both unstructured data and structured data using Relational or Dimensional Models
Expert knowledge of multiple IT platforms: AS/400, Client/server, IBM mainframe, Microsoft Windows NT, OS/390, UNIX
Expert knowledge of current versions of the following products: Lotus Notes and Microsoft Office Suite
Experience with Oracle, DB2, Sequel Server, Hadoop and Federation technologies preferred

Senior Data Engineer Resume Examples & Samples

You collaborate across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools, working particularly closely with the Prime Now business intelligence and engineering teams
You encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
You are comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
You create extensible designs and easy to maintain solutions with the long term vision in mind
You have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively
Bachelor degree and 3+ years of relevant work experience
Scripting skills in Perl, Python, JavaScript, and/or Ruby

Senior Data Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Information Technology or a STEM major (Science, Technology, Engineering or Math)
Minimum of 5 years of experience as data engineer
Minimum of 2 years of experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra
Minimum of 2 years of experience using Scripting (Pig, Python, Perl, etc.)
Minimum of 2 years of experience with Core Java, Java WebServices development SOAP, REST APIs
Minimum of 1 year of experience working on Database(s), SQL
Multiple years of working experience with Talend ETL
Multiple years of experience working with relational and non-relational databases particularly Postgres / SQL
Multiple years of experience building visualization intensive workbooks with Tableau
Multiple years of experience with HTML, CSS, JavaScript, & Web Services
Detailed understanding of data management standards, data governance practices and data quality
Experience with Predix Platform
Ability to provide multiple solutions to business problems
Strong technical aptitude, quickly learns and adapts capabilities to new and emerging technologies
Strong Oral and written communication skills

Senior Data Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 3 years of experience with Talend Data integration tool
A minimum of 2 years of experience working on Database(s), SQL is required
Ability and willingness to travel, as required
Demonstrates knowledge of business' structure (P&Ls) & the levers that support the business goals
Offers data solutions as a method to achieve bus objectives. Knowledgeable about pricing and cost drivers for Services model(s) of their business; aware of services models of other GE businesses
Understands basic functionality and interoperability of product modules / components
Does a comparison analysis of trends, implements action towards new direction/trend
Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize incremental cost of development

Senior Data Engineer Resume Examples & Samples

Responsible for work that is less defined in scope & has the understanding & experience to execute business objectives
IT Project leadership for Data Quality initiatives by driving on-time and quality project deliverables
IT Project leadership for Data Conversion projects by driving on-time and quality project deliverables for SAP ERP implementations
Coordinate, Lead and Guide the data migration design for the objects under the functional area
The technology data processes around identifying/scoping data, cleaning data, loading data and the cut over processes
Lead data cleansing & data construction efforts for the release with the business data owners
Understanding the local site data and mapping it to ERP (SAP)
Mentoring and supporting the additional FTE data steward resources
Managing the technology data cutover activities and working closely with the business process leader during the cutover validation and reconciliation activities
Define acceptance criteria with the Business data owners
Partner with functional teams to identify and execute on opportunities for data quality improvements, enhancement, standardization and simplification
Establishment of formal stewardship processes for the assigned business areas
Monitoring and synchronization of data across the enterprise systems through use of Data quality tools
Data defects tracking and resolution during the Integration test cycles
Leverage Shared Services templates, toolkits, best practices and COE strategies in project deliverables
Establish data quality priorities and develop strategy and plan
Strategically review the data in Interaction to ensure accuracy, completeness, and integrity of the information
Act as the primary resource for questions from end users about data changes/issues and liaise with the IT team regarding issues
Manage Service level agreements for both project and support contracts
Ability to affect short-term & some long-term business goals
Leverage existing solutions and global design to drive standardization & simplification to reduce implementation timelines & costs. The resource will also become an expert in Data Quality technologies (BackOffice/DSP)
Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering with additional degree like full-time MBA with Finance or CA/CFA/ICWA or equally competent certifications
Minimum of 6 Year experience in Information Systems, Information Technology or Engineering, experience working with project life cycle methodologies
Minimum of 3 Year experience in functional implementation of SAP MM
Minimum of 2 Year experience in ERP Data Migrations
Minimum of 3 Year experience working in a global environment with offshore teams
Functional domain experience in materials management & production planning
Demonstrated ability to multitask and effectively prioritize jobs
Solid facilitation and presentation skills to lead design sessions with business and technical audiences to come up with solutions for ERP domain
Proven skills working with Excel & data interpretations/presentations
Experience in Data Architecture, Data Quality, and Master Data Management Strategies
Project Management, Methodologies, Best Practices and Delivery Excellence
Exposure to Data Quality tools will be a greater advantage - BackOffice DMT (Cransoft/DSP)
Proven analytical and problem resolution skills
Proactive responsible individual, able to set own action plans
Application software design, development, database administration using any of these - SQL Server, DB2 Teradata, Oracle Designer, PL/SQL and ABAP programming
Ability to influence and build consensus with other IT teams and leadership
Process oriented, BB/GB Certified
Strong analytical skills and logical mindset

Senior Data Engineer Resume Examples & Samples

Understand and follow policies, procedures and standards for data management and processing
Document designs and changes to database objects needed by team in order to create new database objects or make the changes needed to provide the solution required
Design and Implement different database optimization techniques
Minimum 5 years of experience as data engineer in designing and developing database and ETL solutions or Master’s Degree with 3 years of experience
Experience working with PostgreSQL, Greenplum, and Oracle databases
Experience working with ETL tech stack, Talend and Informatica specifically
Primary role in recent positions can be as a Lead Data / Big Data Engineer
Strong interpersonal skills – Excellent written and verbal communication skills
Strong analytical skills – excellent problem solving skills, communicates in a clear and succinct manner and effectively evaluates information to make decisions; anticipates obstacles and develops plans to resolve
A quick learner – able to efficiently seek out, learn, & apply new areas of expertise as needed
Must be able to function productively in an agile environment
Understanding of BI Database technologies (such as OracleSQL Server, Big Data tools and SQL)
Experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.)
Knowledge of data partitioning schemes for performance tuning and efficiency

Senior Data Engineer Resume Examples & Samples

Works with Product Owners, and Business SME to identify requirements and drive ingestions standards consistent with business processes
Perform variety of in-depth data analysis, data modeling, and data design tasks on datasets
Responsible for design and development data engineering solutions with experience in data modeling, logical and physical design, and ETL
Knowledge of data warehousing principles and processes including data modeling, logical and physical database design, transformation and loading
Designs, profiles, develops, and tests data engineering solutions using multiple ETL /MDM tools that move data from disparate source/target systems and the enterprise information repositories
Demonstrate proficiency with data modeling concepts and tools (e.g., ERWin, ER Studio, etc.)
Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with experience as data engineer
Hands-on experience using Scripting (Python, Perl, Shell, etc) is required
Hands on experience working on Database(s) like PostgreSQL, Oracle, SQL Server
Hands on experience designing data model solutions for various OLTP and OLAP databases
Lean/Six Sigma Certification
Ideal candidate will also have experience presenting effectively to non-technical and executive audiences

Senior Data Engineer Resume Examples & Samples

Strong SQL and physical data modeling skills (3-5 years of practical experience)
Experience with design and development of data warehouse and data mart solutions for small and enterprise scale organizations (1-2 years of experience)
Sharp analytical, conceptual, and problem-solving abilities to identify and fix issues efficiently and independently
Experience designing error and exception handling, system logging and monitoring
Extensive experience with Oracle, PostgreSQL, mySQL, or other RDBMS technologies
Out of the box thinking and excellent verbal and written communication skills as you will be co-located with your customers (business analysts, managers, and execs)
Experience with automation using Unix Scripting (Perl/Python a plus)

Senior Data Engineer Resume Examples & Samples

Experience in high level programming languages such as Java, Scala, or Python
Proficiency with relational databases and SQL is required
Proficiency in Spark/MapReduce development and expertise with data processing technologies is required
Knowledge of Hadoop related technologies such as Azkaban, Oozie, Impala, Hive, and Pig
Experience in developing large scale data warehousing, mining or analytic systems
Able to gather cross functional requirements and translate them into practical engineering tasks

Senior Data Engineer Resume Examples & Samples

BS degree in Computer Science or a related technical discipline or relevant work experience
8+ years of experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security
6+ years of experience in architecting data warehouse solutions and integrating technical components
4+ years of experience with relational, star schema, and data cubes data modeling concepts
Solid knowledge of SQL Server, SQL T-SQL, and SSIS
Relational Database development and performance tuning skills on very large scale enterprise systems
3+ years working with SSAS, SSRS or other equivalent BI tools
2+ year of experience with Big Data technologies including ADF, ADW, ADL, Cosmos
Operational background to optimize data pipelines and infrastructure
4+ year of experience building and testing large scale distributed systems / services
5+ years of experience working with software programming in an Object-Oriented Programming Language e.g. C++, C#, Java
Proficiency building frameworks and solid API design skills
Ability to deal with ambiguity
Excellent cross group collaboration skills
Familiarity and passion for agile/lean development and execution methods, including Scrum and Kanban
Experience developing services using the DevOps model
Can do / positive attitude
Citizenship Verification: This position requires verification of US Citizenship to meet federal government security requirements

Senior Data Engineer Resume Examples & Samples

Be hands-on with data science tools such as R, python, Data RPM etc
Be hands-on with sql, no sql and graph DB Work across multiple cross-functional teams and own the data solution end-to-end
Architect, Design, Develop, improve storage/ETL processes in scope of Application development
Design and document conceptual/logical models Understand and follow policies, procedures and standards for data management and processing Document designs and changes to data objects needed by team in order to create new data object or make the changes needed to provide the solution required
Design and Implement different storage optimization techniques
Minimum 10 years of experience as data engineer in designing and developing database and data transformation solutions Experience working with PostgreSQL,
Greenplum, and Oracle databases Experience working with Graph DB, Cassandra Experience working in an Agile software development environment
Experience working with ETL tech stack, Talend, HVR and other data streaming solutions
Knowledge of data partitioning schemes for performance tuning and efficiency Demonstrated ability to work effectively across functions in a matrix environment
Highly self-motivated, able to work independently Must be able to function productively in an agile environment

Senior Data Engineer Resume Examples & Samples

Must hold an active Department of Defense Security Clearance (interim Secret minimum – day 1 requirement). – SAIC will process this for the candidate
Solid understanding of industry standards and IT terminology, technical concepts, database administration principles and procedures
Microsoft Visual Studio
Use SQL Server Integration Services (SSIS) to perform ETL operations
Experience developing and maintaining project plans including schedules, project requirements, budgets and delivery
Extensive experience in IT-relevant industry areas and an understanding of the surrounding strategic issues that may impact potential customer
Excellent presentation, written, and verbal communication skills at both the engineering and senior executive levels
Auditing /manage security
Assist in capacity planning and run integrity checks
Developing and maintaining best practices and maintaining required documentation
Perform requirement analysis and makes recommendations
Create and test disaster recovery plan and ensure all database servers are backed up in a way that meets the Recovery Point Objectives (RPO)
Configure SQL Server monitoring utilities to minimize false alarms
Possess or able to obtain a DoD IAT Level II IAT baseline certification (e.g. CompTia Security + CE) (this is a day 1 requirement)
Possess of be able to obtain a computing environment certification in accordance with DoD Mandate 8570 (obtain within 180 days from hiring)
A minimum of 5 years of successfully performing in a role of major responsibility tied to large data intensive projects with tight deadlines
7+ years of comprehensive database experience, including at least 5 with SQL Server 2008+
A minimum of 3 years of professional experience as a Data Engineer / Data Architect
Advance degree in Computer Science / Computer Engineering / Information Systems or related discipline
Experience in data modeling and database design, knowledge across all phases of data modeling, from conceptualization to database optimization
Ability to define, track, and maintain the standard baselines and configuration sets of all managed and/or monitored instances and servers and implement industry best practices
Resource allocation and monitoring
Performance problem identification and resolution assistance
Clustering, replication, and other high-availability techniques
Data security and recovery
Data and database health practices (DBCC CHECKDB, etc.)
Patch management
System capacity planning
Creation, configuration, and monitoring of SQL Agent jobs for database maintenance and backups Preferred Qualifications
Bachelor’s degree in Computer/Engineering and 5 years SQL Server DBA experience or related experience or a Master’s degree and 3 years’ experience. 4 additional years’ experience will be considered in lieu of a Bachelor’s degree
Working knowledge of IP networking, Windows server administration, XML, and Active Directory
Strong customer service, organizational skills, knowledge of applicable DoD/Government policies and procedures
Ability to work independently without direction from other project members

Senior Data Engineer Resume Examples & Samples

1) At least five years of experience with extract, transform, load (ETL) concepts and hands-on experience working with Data Analysis and Transformation using tools such as Informatica
2) Data Warehousing design concepts and strong Structured Query Language (SQL) skills including building complex queries and performance tuning
3) Hands-on Hadoop development including loading and transforming large complex sets of structured, semi-structured and unstructured data, configuration of Hadoop Ecosystems, and performance tuning of MapReduce Jobs
4) Various Hadoop services and development/implementation of MapReduce jobs using techniques such as Hive, Pig, SQOOP, and YARN architecture
5) Modern software development concepts and fundamentals such as modularization, reuse, security, and testing
6) One or more RDBMS systems (MySQL, Oracle, MS SQL, etc.) and interacting with them using ANSI SQL
7) Writing Unix shell scripts
8) Amazon Web Services (AWS)
9) Integration of Business Intelligence Reporting Solution (Tableau, Business Objects, etc.) with various databases
10) One or more No-SQL solutions (Hadoop, Cassandra, Redshift, Amazon Dynamo DB, etc.)
11) Agile Scrum development

Senior Data Engineer Resume Examples & Samples

How to work in a linux environment, understand data security, data architecture, data management, data encryption (At rest and in transit.)
Hive
No sql
Elastic search

Senior Data Engineer Resume Examples & Samples

3+ years of DW architect experience
6+ years of hands-on experience writing SQL code
5+ years of experience building reporting semantic layers and BI dashboards
4+ years of hands-on ETL experience
Experience working with large sized databases and big data technologies
Experience in architecting large scale BI solutions
10+ years of DW experience
5+ years development experience with notable BI reporting tools (Oracle BI Enterprise Edition is preferred, Cognos)
Superior attention to detail and ability to successfully manage multiple competing priorities simultaneously
Experience on AWS, Python, Ruby, EMR, Spark is a plus

Senior Data Engineer Resume Examples & Samples

Provide subject matter expertise for the data associated with gaming and hospitality systems
Bachelor’s degree or equivalent in relevant discipline
Must exhibit a high level of mastery of the Microsoft BI Stack, including: SSIS, SSRS, SSAS, SharePoint, PowerPivot, etc
Must have at least 8 years ETL experience using SQL Server SSIS 2008r2-2016
Must have at least 10 years with T-SQL programming
Should be experienced in automated file handling with ETL tools via FTP and other means
Should have administrative experience with SQL Server 2008-2016
Prefer experience with Java or .NET development; C#, ASP.NET, scripting languages, and web site operations is a plus
Experience with Big Data, Advanced Analytic techniques and Real Time data a plus
Must be willing and capable of adopting new technologies and paradigms such as Big Data technologies (Hadoop, hive, etc.), event based analytics, etc
Experience with analytic tools such as Spotfire, SAS, Cognos, Microsoft BI a plus
Prefer TFS and Agile experience (SCRUM)
Prefer gaming and hospitality experience
Must have strong organizational skills, customer service focus, attention to detail, and process orientation
Must be able to communicate effectively (including synthesize findings, insight and recommendations from data and analytics) in a clear, positive fashion utilizing English in oral and written form
Proof of authorization/eligibility to work in the United States
Must be willing to be 24 x 7 on-call support

Senior Data Engineer Resume Examples & Samples

5+ years combined experience between dynamically-typed (Node.js, Python preferred) and statically-typed object-oriented languages (primarily Java/Scala)
5+ years of server side design and development experience
3+ years of significant experience developing within the broader AWS ecosystem of platforms and services, API Gateway and Lambda experience preferred
Experience with SOA and REST-based web service development. Sound API design and knowledge of HTTP principles is vital to delivering easy-to-use services to internal consumers
Experience writing performance-critical as well as 'asynchronously' executed services
Experience with tokenization and general principles of API security
Strong knowledge of industry-relevant web frameworks/servers based on experiential background (e.g., Django or CherryPy for Python; KOA for Node; Spring and Tomcat for Java, etc)
Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds
As always, experience writing efficient data access code for SQL/NoSQL variants of some kind is very desirable
An understanding of AWS-specific security options is a significant plus
Prior experience with the operational backbone of a CI/CD environment (pipeline orchestration + configuration management) is useful
Clean coding practices, passion for development, being a generally good team player, etc, etc (and experience with GitHub) is always nice

Senior Data Engineer Resume Examples & Samples

Implement a quality control (QC) process to evaluate compliance with data models and taxonomies to ensure cohesion of curated data across time as data models and configurations evolve
Create a rapid means to remediate data that fail to meet curation specifications
Empower scientists with tools, processes and data structures needed to support project objectives
Ensure accurate, complete and timely collection, delivery and tracking of analytical information from translational, CRO or collaborating laboratories for curation, ingestion and delivery to computational scientists
Help define, deliver and implement R/ED, collaborator and partner laboratory analytical data management systems, processes and procedures
Work with R/ED study teams to develop R/ED information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity
Work with computational biologists, computational scientists, biostatisticians and study scientists to resolve data quality issues
Make data, including raw/interim data, available to R/ED department personnel as required
Collaborate with users to enable data access and ingestion
Acquire user feedback to inform business requirements for future development
PhD in a related discipline with at least 6 years of experience; Master’s degree with 12 years of experience; or Bachelor’s degree 14 years experience in biomedical data management, data engineering, quality assurance, assay development, specimen data management or related discipline
Demonstrated proficiency with molecular biology concepts; and ability to support, develop and deploy laboratory and other research data management processes and procedures as they apply to complex, high dimensional data sets
Demonstrated ability to understand and translate high-level scientific datasets and results into data curation and management strategies and the underlying structures, curation processes and infrastructure required
Strong understanding of LIMS systems and systematic, relational approaches to data integration and data processing workflows
Familiarity with Amazon Web Services (AWS)
Excellent skills in R programming and experience in additional computer languages such as Perl, Python, PHP, S-PLUS or Java (or C/C++)
Extensive practical experience in working with diverse but highly-connected scientific knowledge collections and their query interfaces to enable research hypotheses around compound targets, mechanisms of action, and patient response
Proven ability to work in a team environment with clinical personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers
Knowledge of FDA/ICH guidelines and industry standard practices regarding data management are helpful but not required
Detailed knowledge and experience in case report form design, central laboratories, programming databases, query resolution, data validation
Computer skills: detailed knowledge of at least one data management system (Oracle Clinical or Clintrial preferred), experience with SAS data sets and conversion procedures required; knowledge of MS Office program suite required
Must thrive in a complex, dynamic environment while adapting to dynamically changing priorities
Must have excellent time management and organizational skills

The Dock-senior Data Engineer Resume Examples & Samples

8+ years of experience in working with data-intensive software projects
Extensive experience of data storage technologies (RDBMS such as MySQL, Postgres, Oracle, SQL Server; NoSQL e.g. Cassandra, MongoDB; Data Marts & Data Lakes)
Extensive experience in designing and engineering data transformation with ETL tools
Cloud services: e.g. AWS/Azure/Google Cloud/Openstack

Senior Data Engineer Resume Examples & Samples

Help design and build data workflows to bring data from sources like Hadoop, Cassandra, Kafka, and SQL into the EMP for use in marketing communications
Work on a brand new omni-channel engagement marketing platform, including the migration from current systems
Support platforms and applications that help contribute over $250 million in annual review via our outbound emails sent to more than 13 million GoDaddy customers
Collaborate with other GoDaddy teams of Engineers, Marketing Professionals, QA and Operations. You will be much more than just a “data jockey.”
Leverage industry best practices and methodologies such as Agile and Scrum
Be a member of our Scrum team where we have two-week sprints, user stories and a product backlog. Everything is managed in JIRA via a Kanban board

Senior Data Engineer Resume Examples & Samples

Responsible for aspects of new and existing data development and data integration using content-based data products. Expected to take ownership of specific EMEA products and become the domain expert and to project lead where necessary
Design production processes using ETL tools, GIS and big data technologies,
Develop new products and associated specifications/supporting docs in collaboration with global teams and product managers
Work effectively with data engineers in other teams across the world on global data products and global project teams
2-5 years’ experience working with spatial and non-spatial data
Proficiency in data integration with multiple RDBMS technologies such as Oracle/SQL Server/Postgres,PL-SQL, T-SQL
Experience of using AWS for development
Experience with ETL tools, continuous delivery & GIS Software
Experience of development with data processing frameworks such as Spark, Hadoop
Effectively work independently and as part of a global team spread across various time zones

Senior Data Engineer / Tech Lead Resume Examples & Samples

1-3 years of experience in the insurance or investment industry
Working experience with Big Data technologies and concepts on a Hadoop platform (e.g. Scoop, Hive, Pig, NoSQL, etc…) a plus
Ability to design, implement, and oversee ETL processes
Ability to choose and effectively utilize data wrangling technologies

Senior Data Engineer Resume Examples & Samples

Identifies strategic information needs of internal clients and translates these into data requirements to build high performance data stores
Works on the existing implementation of the Knowledge Graph and Citation Graph and recommends enhancements with regards to data availability, storage and access
Helps in defining the core set of metrics, targets and sampling methodology to assess the quality
Assesses and validates reliability of source data and business systems used to develop performance metrics
Works in collaboration with Data Scientists to constantly optimize performance of queries and availability of data
Explores existing data for insights and recommends additional sources of data for improvements
Track, verify, evolving data sources, data flows, tools & storage mechanisms
Big Data on cloud computing platforms with technologies such as Hadoop, Hive and Spark
Implement high quality code in an agile software development environment
Able to respond and present work to peers, answer in-depth questions, accept constructive feedback, and modify product accordingly

Think Big Senior Data Engineer Resume Examples & Samples

5 years of experience programming in Java
Prior experience with Hadoop, HBase, Hive, Pig and Map/Reduce or Spark
Some experience in leading small technical teams
Experience with other programming languages (Python, Scala)
Experience in building complex and non-interactive systems (batch, distributed, etc.)
Familiarity with different development methodologies (e.g. agile, waterfall, XP, scrum, etc)

100

Think Big Senior Data Engineer Resume Examples & Samples

Excellent verbal and written communications skills
Prior consulting experience
Experience with Hadoop, Hive, Pig, Avro, Thrift, Protobufs and JMS: ActiveMQ, RabbitMQ, JBoss, etc
Dynamic and/or functional languages (e.g., Python, Ruby, Scala, Clojure)
Experience designing and tuning high performance systems

101

Think Big Senior Data Engineer Resume Examples & Samples

Prior work and/or research experience with unstructured data and data modeling
Vagrant, Docker
Familiar with OSI stack and proper use of HTTP verbs etc
Knows how to tune a job including parameters, more efficient API calls. Understands Spark SWL. Understands Spark Streaming and can transform a DStream
Setup and leverage output from Ganglia, Nagios, Ambari, Cloudera Manager, etc
Able to link Kerberos KDC to a backing LDAP or Active Directory authentication provider

102

Senior Data Engineer Resume Examples & Samples

7+ years of experience programming in Java, Python, SQL, or C/C++
Creative problem solver
Experience building complex and non-interactive systems (batch, distributed, etc.)
2 years experience of semantic web
Demonstrated experience with RDF/OWL SPARQL, Jena, Protege, Semantic Web Services (OWL-S, WSMO), XML
Ability to build ontologies from scratch
Knowledge and best practices of Ontological Engineering
Experience with FICO CDA, FICO Debt Manager
Demonstrate understanding of “var” vs. “val”, use of multi-return methods, ability to write clean, legible scala code that solves a complex problem
Firm understanding od python memory mode, classes, subclassing, designing classes for re-use, static string constants rather than in-line constnts
Ability to leverage additional security tools like Ranger, Knox, Sentry to further harden a cluster or secure data access
Understanding of how to segregate data based on access control rules, when and how to encrypt data (whole record vs individual fields) when and how to mask fields, etc
Able to create and deploy a Samza job via YARN or Mesos, read from a streaming source (like Kafka) and produce some filtered or enhanced output
Able to create a storm topology to filter or transform a steam of data. Ability to track state and isolation in Trident or similar
Able to connect DStream to Kafka or Flume (or similar) queue, filter or transform data and write back to DStream on a different topic/queue
Implementation of D3, Tableau or R graphing technologies that produce an intuitive view of the underlying data
Implement a graph (line or pie etc.) backed by a live (changing) data set, something like “requests per minute” or similar
Understand basic modeling techniques, tools sets. Implement simple Python or R analytic routines

103

Think Big Senior Data Engineer Resume Examples & Samples

Experience with Unix
Demonstrate appropriate use if dependency injection, object allocation (and re-use), solid familiarity with common utilities (like Guava, Spring, Apache Commons, etc.)
Demonstrate understanding of “var” vs “val”, use of multi-return methods, ability to write clean, legible scala code that solves a complex problem
Ability to create an EMR cluster, install services on it and administers quotas
Basics of the Hive SQL language, create tables, load data, query from, insert into tables
Basics of the language, submit jobs, perform aggregations, etc
Ability to launch jobs or queries inside a cluster that is kerberized, demonstrate ability to obtain and renew a Kerberos ticket from job code (scala, java, etc.)

104

Think Big-senior Data Engineer Resume Examples & Samples

Professional or academic background that includes mathematics, statistics, machine learning and data mining
Standards-based REST implementation
Ability to write advanced UDFs, Serdes, input-loaders, log analysis, how the logical operators map to the lower, level physical implementation

105

Senior Data Engineer Resume Examples & Samples

Work on all the data types across the enterprise including Asset, Sensor, Services and Environmental Data
Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need
Support the data requirements of the different functional teams like Finance, Risk, Engineering, Commercial & Fulfillment and all the regional KPI / Metrics initiatives
Perform any necessary data mapping, data lineage activities and document information flows
Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
Drive Master Data Management(MDM) strategy including implementing the governance model for Master Data
Drive Data profiling and data exploration for basic understanding and profiling of the data
A minimum of 2 years of experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra is required
A minimum of 2 years of experience using Scripting (Pig, Python, Perl, etc) is required
A minimum of 2 years of experience with Core Java, Java WebServices development SOAP, REST APIs
A minimum of 1 year of experience working on Database(s), SQL is required
Primary role in recent positions must be as a Lead Data Engineer or Senior Data Engineer
Basic level knowledge in area of modeling expertise (e.g., data, physics, or domain driven). Aware of basic forms of modeling and how they apply to different types of data (e.g., text, voice, image, survival, time dependent, etc.)
Conducts exploratory data analysis and generates visual summaries of data. Identifies data quality issues
Actively identifies needs for novel methods/tools and works with team to invent as necessary. Validates new tools and methodologies
Good knowledge of Predix Platform
Working knowledge and hand on Experience with Restful Webservices, Angular JS and Polymer and other web components like HTML5 and CSS
Hand on experience with one of the major RDBMS and contemporary database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL
Knowledge of data transfer and ingestion technologies including Talend and HVR
Knowledge of data management standards, data governance practices and data quality
Works effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understands the interconnections between them
Uses teamwork skills to achieve goals, solve problems, and manage conflict
Understands strengths and weaknesses of team members, and consistently leverage these to achieve goals
Creates a trusting and cooperative environment fostering creativity and knowledge sharing
Identifies multiple solutions & provides in depth scenario analyses
Identifies and explores alternative solutions. Effectively transitions the solution creation process into action. Identifies solutions that can be proven as both feasible and efficient for creating business value. Prioritizes effectively
Demonstrated awareness of presentation and influencing skills

106

Senior Data Engineer Videa Resume Examples & Samples

5+ years of using SQL/ T-SQL which includes developing and testing complex queries
5+ years of familiarity with writing and analyzing stored procedures
5+ years working in an ETL environment with heavy exposure to testing with and without source to target mapping documentation
5+ years of experience working with MS SQL Server
Ability to write and debug Stored Procedures
Use of SSIS, SSAS, SSRS
3+ years of using industry monitoring tools for the purpose of analyzing queries and stored procs
Data Warehouse & Big Data design experience
Agile experience is mandatory
Your critical thinking, logical reasoning, and problem dissection/solving skills are sharp
You have working knowledge of IIS/web servers, OS/Networking/HTTP, web services
Knowledge of Visual Studio 2013 including the creation of .ispacs and .dacpacs
Experience using the following tools: Microsoft Suite (TFS, Visual Studio, Test Manager)
Experience in testing SAAS Web applications built on Microsoft stack
Experience as an Object Orientated Software Engineer and specific skill of automating processes are a plus

107

Senior Data Engineer, VP Resume Examples & Samples

Provide architectural expertise in Data warehouse engineering, data modeling, database design, operational flexibility and user self-service capabilities. Help shape the vision of long-term, scalable solution
Develop technical standards, procedures, and guidelines used to govern data models
Help to lead technology initiatives related to data and analytic solutions for the Marketing and Sales organizations within Global Investment Management
Help to deliver scalable solutions on the Hadoop, Greenplum, Qlik and other BI platforms
Help to define the next generation architecture and tool set as part of the Lead Design Authority responsibility
Implement best practice tools and processes for ensuring data quality
Working knowledge of Data Warehousing tools and methodology, reporting tools and ETL tools
Thorough understanding of database technologies, preferably MPP databases( Greenplum, Vertica, Netezza)
Ability to interact with people at all levels, including business users, technologists, and senior executives
Ability to execute flawlessly and handle multiple projects simultaneously and independently, while maintaining a high degree of communication and escalation at appropriate junctures
Familiarity with advanced analytics concepts is a plus

108

Senior Data Engineer Resume Examples & Samples

Design and implement scalable and robust software platform for ingesting and transforming telco network datasets in (near) real-time and visualizing the data insights through an interactive dashboard, using a variety of open-source and proprietary Big Data technologies
Collaborate with product management, sales and marketing, and solution delivery teams to ensure customer requirements are well managed and reflected in product releases
Support the deployment of DataSpark software within clients' IT environment
Working closely with stakeholders to ensure high standards of data governance during implementation
Help manage software engineering vendors who support DataSpark application development efforts and maintain DataSpark applications
Serve as technical subject matter expert in latest big data technologies

109

Senior Data Engineer Resume Examples & Samples

Knowledge of data B28:D31 principles and processes including data modeling, logical and physical database design, transformation and loading
Must be legally authorized to work in the United States full-time
Must be willing to work in our New Orleans, LA facility full-time
Must submit application for employment through gecareers.com (or COS if internal) to be considered
Must be 18 years of age or older
Must be willing to take a drug test as part of the selection process
Must be willing to submit to a background investigation, including for example, verification of your past employment, criminal history, and educational background

110

Senior Data Engineer Resume Examples & Samples

Build and maintain a knowledge base of basic data required to form Management Information views (for example entities, their relationships to regions, management structures. Classification of risk types)
Extracting, importing and exporting data from various sources
Provide consolidated, accurate data sets to the reporting teams (both scheduled and ad-hoc requests)
Develop a solid understanding of the AXA application and data landscape to be able to effectively harvest the most relevant information
Provide feedback on information gaps or issues with data integrity, and motivate for data gathering exercises when required
Develop a close relationship with Architecture to identify new data opportunities or new applications to enhance the Risk and Security information environment
Ensure tracking of Capability Maturity Model to monitor implementation and improvement of appropriate IS controls across the Group
Keep up to date about security threats and on new developments in the security area
Keep up to date with emerging technologies, solutions and trends in the data management industry
A basic understanding of the legal implications of moving data across international boundaries, or comfortable working with legal consult would be advantageous
Web development (user interface) skills would be advantageous
A history in presentation / executive reporting / business reporting design would be advantageous
Statistical knowledge would be advantageous
Any skills in graphic design / data visualisation tools would be advantageous
An interest in Data Warehousing / Big data (e.g. Hardoop, noSQL) would be advantageous
Experience in Data Management > 5 years
Experience of working in large and matrix organisations > 5 years
Experience in leading shared services or risk functions > 5 years
Experience of working in a multi-vendor and outsourced IT environment
Ability to function effectively in a matrix structure
Strong networking skills

111

Senior Data Engineer Resume Examples & Samples

Provide technical leadership on high-performance data processing / manipulation
Ensure 24x7 operation of business critical systems
Work cross-functionally with all organizations
At least 5 years of experience developing code for data transport and/or transformation
Excellent knowledge of algorithms and large-scale data optimization
Excellent skills in database schema design and SQL
Experience with business critical environment and production systems
Experience with data center telemetry desired

112

Senior Data Engineer Resume Examples & Samples

Maintain and improve our data pipelines using Hadoop, Scalding, Luigi, Spark, Mongo and more
Partner with the Data Science team to investigate and implement advanced statistical models and machine learning pipelines
Identify and implement performance improvements across all pipelines
Data investigations to validate assumptions or find the source of a problem
3+ years of proven experience working with Hadoop MapReduce and/or other big data technologies and pipelines
You consider yourself both a Data Scientist and a Senior Developer, and are just as happy working on challenging data problems as you are tinkering with the cluster
You have a solid foundation in computer science fundamentals with particular expertise in data structures, algorithms, and design
You obsess over data: everything needs to be accounted for and be thoroughly tested
You are constantly thinking of ways to squeeze better performance out of the pipelines
Strong Java or other object-oriented programming experience or, even better, experience and/or interest in functional languages (we use Scala!)
Experience with Scala, Scalding, Luigi,Hive, machine learning pipelines and model training is a plus

113

Senior Data Engineer Resume Examples & Samples

A minimum of 2 year of experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra is required
A minimum of 2 year of experience using Scripting (Pig, Python, Perl, etc) is required
Demonstrates knowledge of business' structure (P&Ls) & the levers that to support the business goals
Offers data solutions as a method to achieve and monitor bus objectives. Knowledgeable about digital marketing data (customer behaviors, marketing automation, CRM, campaign, etc)
Ability to establish scalable processes and governance plan to ingest, transform, and integrate digital marketing data sets into a centralized database
Conducts and clearly explains comparison analyses of trends, implements action towards positive trend
Articulates the value proposition of existing technology capabilities and maps them to customer requirements to minimize total cost of ownership
Translates business goals into measurement plans and reporting requirements that includes objectives, KPIs, baselines, and targets

114

Senior Data Engineer Resume Examples & Samples

SQL databases (e.g. Teradata, Vertica, Redshift, Snowflake)
NoSQL data stores (e.g. Cassandra)
Data programming languages (eg. Python, Pig, Scala)
Hadoop stack
Linux OS and Tools (e.g. Jenkins, Puppet, Stash, etc)

115

Senior Data Engineer Manager Resume Examples & Samples

Seasoned data professional with deep understanding of modern data related technologies, both standard and emerging
Hands-on advanced data architecture, proven record of doing effective data architecture for true big data. Ability to explain complex concepts in simple terms
Coder extraordinaire, not hooked on one technology or language. We use Hive/Hadoop, Spark, Python, R, PostgreSQL, MySQL, Oracle, SAS, Excel, Trifacta, Alation, Arcadia
Ability to look at the big picture and dive into deep details
10+ years of experience in the data space to help the team to avoid typical mistakes
Passion for automation, respect for data visualization
Ability to deal with ambiguity and lead with new ideas
A positive attitude

116

Senior Data Engineer Resume Examples & Samples

Candidate must possess at least a Bachelor's Degree, in Computer Science/Information Technology/Applied Mathematics, Statistic or equivalent with CGPA 3.0 and above
2+ years of experience with relational (SQL) as well as non-relational (NoSQL) database modelling and schema design, dimensional data modelling
2+ years of experience in ingesting data, writing ETLs, Data Pipelines and designing workflows
2+ years of experience working in Agile Development environment
Ability to write complex Analytical Queries and performance tuning
Experience with Hadoop technology stack e.g Sqoop, HBase, Hive, Pig, Spark, Oozie, Map Reduce is preferred
Knowledge of data mining, data analysis and tools like R
Experience in Data Warehousing

117

Senior Data Engineer Resume Examples & Samples

Strong background in Java and Python, preferably C++
Knowledge of cloud technologies is highly preferred
Background in Math, statistics and Machine Learning methodologies is preferred

118

Senior Data Engineer Resume Examples & Samples

8+ years of Data Integration experience
8+ years of hands on experience with one of the
Proficient in developing and supporting all aspects of a big data cluster: Ingestion (rsync), Processing (Apache Nifi), Parsing (Java), integration (Python, Spark, Scala and PIG), data movement (SQOOP), workflow management (OOZIE and ActiveBatch), and querying (HIVE and Impala)
Experience writing scripts that interact with web API’s using REST or SOAP methods
Some experience with AWS products including S3, EC2, EMR, DynamoDB, Kinesis, and Lambda

119

Senior Data Engineer Resume Examples & Samples

Required to oversee and coordinate the multiple projects, which comprise a program
Responsibilities of this role originate in the Plan Phase and extend through the Deployment Phase of the Project Management Governance Process
Oversight of Program Management Process from Concept Phase through Deployment
SR Data Engineer initiates the overall structure of the program and its activities, including recommending Project Management requirements, evaluating project plans, identifying and managing issues and risks across projects, overseeing rollout of a multiple programs across multiple sites
Responsible for coordinating program communications, including compiling project information for reviews and promoting Governance compliance with the project management team
SR Data Engineers responsible for the mentoring of project team members
Participate in business case justification specializing in information technology
Applies analysis and independent judgment to both routine and non-routine information
Able to respond to the majority of situations with limited guidance and formulate alternative courses of action on more complex information with additional guidance from more senior employees
Has subject matter expertise in the tools and processes used to address business issues and reporting needs
Develops reporting tools for use in business management
Manages lifecycle of multiple key information solutions
Decompose program into time-phased projects and prioritize key program deliverables; Assumes full accountability for overall success of a project through deployment
Define project goals and objectives; Identify customer requirements
Identify resource requirements
Develop program/project budget
Ensure headcount and capital dollar resources are identified for all project phases
Track incurred and projected expenses against program plan and report to management
Develop and be accountable for the overall program plan by integrating sub-project plans
Ensure resources are committed and engaged for all project phases
Identify key program metrics/milestones and assess risks
Prioritize resource allocation; Assist with resource negotiation; Manage cost/schedule/resource variances
Produce project documentation; Establish/maintain project information system; Monitor and control project
Review and monitor vendor performance; Assure compliance with WCS Governance standards, WCS strategic plan, and operational priorities
Manage key decision points in program plan; Communicate effectively at the Global, Regional, and Area levels
Manage program to ensure deliverables are produced, and partner to obtain sign-offs; Work with partners to clarify roles and responsibilities so program is well executed
Negotiate within and across IT organizations for resources to support program objectives
Support negotiations with vendors and internal clients on cost, schedule, and scope
Re-negotiate contracts with sponsors to meet change requirements while maintaining benefits
Develop mitigation strategies and steps to eliminate or minimize effects of risk on program IT plans
Review and evaluate program documentation deliverables for completeness and accuracy
Conduct post-implementation review and communicate results to facilitate learning
Establishing ownership of enterprise-wide issues
Organizing and coordinating cross-functional resources
Managing the implementation of global business solutions
Ability to manage global, strategic high-risk programs involving complex cross-program interlock
Ability to work closely with the Business Leaders, IT Partners, and peers for the project, the customer and the development/implementation team within a Project Team environment
Interface with multiple business functions and organizations, as well as multiple specialists, in defining, producing and managing plans for successful project delivery
Ability to lead/coordinate a cross-functional team, ensuring that projects meet defined scope, time, cost and quality constraints
Ability to deal with organizational influences, ambiguity and continuous change

120

Senior Data Engineer Resume Examples & Samples

Collaborate with a team of other data engineers, data scientists, and business subject matter experts to process data and prepare data sources
Ingest data from many data sources
Model data to support Data Science Projects
Work closely with Enterprise Data Architects to implement the essential designed approaches
Bachelor’s degree in Computer Science, Human-Computer Interaction (HCI), Cognitive Science or other closely related disciplines with emphasis on Data Analytics
6+ years of programming proficiency in a subset of Python, R, Java, and Scala
4+ years of experience analyzing data with SQL and implementing large-scale RDBMS
3+ years of experience implementing systems in Amazon Web Services (AWS) and cloud-based systems
3+ years’ proficiency in configuring and deploying Linux-based systems
4+ years of experience implementing data pipelines in large-scale data analysis systems such as Hadoop or MPP databases
6+ years of experience in data flow and systems integration
Experience with Power BI or similar Analytics Program

121

Senior Data Engineer Resume Examples & Samples

Work with our data science team on machine learning algorithms
Deploy and monitor data jobs at scale
Integrate data jobs with the MediaMath bidding and data platforms through real-time APIs with a high throughput (1M+ QPS)
5+ years of experience with big data computation and tools (Apache Hadoop / Spark, SQL, etc.)
Self-directed, "get it done" attitude

122

Senior Data Engineer Resume Examples & Samples

Bachelor's degree in Computer Science with Mathematics and Statistics or equivalent subject; Masters preferred
Minimum of 5-7 years of experience in software development
Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig, etc
Used SQL, PL/SQL and similar languages, UNIX shell scripting
Knowledge of agile software development process
Experienced with data modeling, design patterns, building highly scalable and secured solutions
Skills to communicate complex ideas effectively in English and German
Can manage 80% travel

123

Senior Data Engineer Resume Examples & Samples

Bachelor's degree in Computer Science with Mathematics and Statistics or equivalent subject, Masters preferred
Minimum of 7-10 years of experience in software development
Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc
Worked with TeraData, Oracle, MySQL, Informatica, Tableu, QlikView or similar reporting and BI packages
Knowledge of agile software development process and familiarity with performance metric tools
Demonstrate enthusiasm, influence and innovation
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions; tolerance in dealing with bad quality data
Distinct customer focus and quality mindset
Ability to work at an abstract level and gain consensus
Ability to see from and sell to multiple viewpoints
Excellent interpersonal, leadership and communication skills and the ability to work both independently and in various team settings
Ability to work under pressure with a solid sense for setting priorities
Ability to manage own learning and contribute to domain knowledge building

124

Senior Data Engineer Resume Examples & Samples

Data warehousing concepts (including data model design and query optimization strategies)
Source system integration
Creating ETL scripts via SQL/Hive SQL
Automating business and reporting processes

125

Senior Data Engineer Resume Examples & Samples

Design, build, and maintain scalable data intensive solutions to support data, reporting, and analytics needs of HA’s Commercial, Revenue Management, Operations, and Maintenance organizations, using emerging technologies
Develop scripts and data pipelines to ingest and process high volume real-time data streams to feed downstream operational and analytical systems
Lead implementation of Big Data and advanced analytics initiative of HA, working closely with IT leaders and Business stakeholders
Define and implement industry and technology best practices for building and supporting successful Big Data platform
Experience with data visualization tools such as Tableau and PowerBI (Cortana)
Experience with Machine Learning algorithms and libraries
Experience mentoring of junior engineers in the development and maintenance of Big Data/Data Discovery systems

126

Senior Data Engineer Resume Examples & Samples

At least 5 years of professional software and database development experience
Excellent grasp of data warehousing, specifically Kimball’s dimensional design approach and data modeling for transactional databases
Excellent track record of implementing ETL/ELT use cases and patterns at scale in a production environment
Strong SQL skills - ability to write efficient queries and optimize existing queries as well as be well versed in both aggregate and analytical SQL queries (e.g., windowing functions)
Proven ability in translating business requirements into functional data models
Experience in at least two of the following languages, expertise in Java or Python or Scala
Familiar with the AWS toolchain e.g., EC2, S3, EMR as well as development experience with AWS Lambda
Ability to communicate effectively with stakeholders to define requirements
Familiarity working with relational, or NoSQL, or columnar data stores
Familiarity with JavaScript API, REST API and Data Extract API
Some experience with one or more of the following

127

Senior Data Engineer Resume Examples & Samples

Architect, build and launch new data models that provide intuitive analytics to your business partners
Design, build and launch extremely efficient & reliable data pipelines to move data (both large and small amounts) in/out of our Data Lake
Design and develop new systems and tools to enable people to consume and understand data faster
Use your expert coding skills across a number of languages from Python, Shell and Java
Develop applications within the Hadoop Stack
2+ years of Java and/or Python/Shell development experience is necessary
2+ years of SQL (Oracle, Hive, etc.) experience is required
2+ years of building reports on Tableau, Micro strategy or similar tools is necessary
4+ years of experience in custom or structured ELT design, implementation and maintenance
Experience working with either a Map Reduce or a distributed parallel processing system on any size/scale is a plus
Experience with Agile Development

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Think Big Senior Data Engineer Resume Examples & Samples

Demonstrate a keen interest in, and good understanding of, the “Big Data” technology marketplace and the business trends that are driving the adoption and deployment of relevant technologies
Have at least 2 years hands-on experience in the design, development or support of analytic solutions based on parallel RDBMS and/ or Hadoop technologies and gained in a pre- or post-sales environment at a leading technology vendor or in an end-user computing organization
Be familiar with major Hadoop distributions from Cloudera, Hortonworks, MapR
Have experience in installation, administration, setting up the security and performance optimization of Hadoop cluster
Be expert consultant who can demonstrate the ability to lead client workshops and to challenge and inspire customers and prospects
Represent lead for Big Data analytic matters in project teams
Be proficient in the use of SQL and R and be familiar with one of the following programming languages Java, Python, Scala
Possess good analytical and problem-solving skills and be proficient in the use of both written and spoken business English
Be committed to life-long learning and personal development

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Senior Data Engineer Resume Examples & Samples

We are a collaborative and exploratory data science/analytics team with diverse backgrounds and experiences; Take a listen first approach but share knowledge and clearly articulate insights and best practices
Take abstract business issues and derive analytical solutions
Build working prototypes with an awareness of production implementation requirements
Build production quality ETL processes to load analytical data assets
Advise implementation teams and data scientists on best practices in data processing
Clearly articulate your ideas and solutions to both technical and non-technical audiences
Learn continuously, leveraging IgnitionOne training resources or through self-directed sources
Apache Spark development experience using Scala or Python
Experience with various messaging systems, such as Kafka or Kinesis
Experience building Dimensional Models
Development experience graph databases (neo4j, OrientDb) or graph compute engines (GraphX, Giraph,…)
Experience with probabilistic data structures, such as bloom filter or hyperloglog
Experience in Digital Media/Programmatic Advertising a plus

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Senior Data Engineer, Shanghai, Corp Resume Examples & Samples

Bachelor’s degree in computer science & engineering fields, with 3-8 years of relevant hands-on experience in design, development & deployment and working with Big data sets in production environments on cloud
Experience working with big data tools such as Spark, MapReduce, Pig, Hive, Kafka and NoSQL data stores such as MongoDB, Cassandra, HBase, etc
Experience with one or more languages such as Python, Perl, Ruby, Java, Scala, R etc
Ability to work closely with global teams to execute projects rapidly in a multi-disciplinary environment
Candidates aspiring for leadership role must have proven track record of 1-2 years of simultaneously working on multiple projects, with small teams of 4-5 data engineers

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Think Big Senior Data Engineer Resume Examples & Samples

Provide technical leadership to clients in a team that designs and develops pathbreaking large-scale cluster data processing systems
Mentor sophisticated organizations on large-scale data and analytics and work with client teams to deliver results
Additionally the Senior Data Engineer assists Think Big Analytics establish thought leadership in the big data industry by contributing white papers, technical commentary and representing the company at industry conferences
Designing and developing code, scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources
Software installation and configuration
Participating in and helping lead requirements and design workshops with our clients
Mentoring junior members of the team in software development best practices
Experience with Linux, SQL, NoSQL, relational database design and methods for efficiently retrieving data, strongly desired
Must have 4-10+ years experience programming in Java, Python or C/C++, demonstrate proven expertise in production software development
Must be proficient in Linux, SQL, relational database design and methods for efficiently retrieving data
Must also have experience building complex and non-interactive systems (batch, distributed, etc.)
Must have strong analytical skills and be a creative problem-solver
Must possess excellent verbal and written communications skills and be a strong team player capable of working in a demanding start-up environment
Prior consulting experience is strongly desired
Proficient in NoSQL is strongly desired
Experience with Hadoop, Hive, Pig, Avro, Thrift, Protobufs as well as JMS: ActiveMQ, RabbitMQ, JBoss, etc
Dynamic and/or functional languages experience such as Python, Ruby, Scala, and Clojure are also desirable
Experience designing and tuning high performance systems and prior experience with data warehousing and business intelligence systems
A professional or academic background that includes mathematics, statistics, machine learning and data mining is a plus
Prior work and/or research experience with unstructured data and data modeling as well as familiarity with different development methodologies (e.g. agile, waterfall, XP, scrum, etc.)

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Senior Data Engineer Resume Examples & Samples

Support of the Centralized Logging Service (CLS) and assistance in the design and implementation of the solution, based on Kafka, Elasticsearch, and Nifi services
Maintain a high level of competency in big data solutions and aligned technologies. i.e. Apache Kafka, Apache Nifi, ElasticSearch / Kibana, and Hadoop
Develop self-service capabilities by which applications will board the service
Take an agile pro-active approach that delivers improvements to the organization in a timely basis
Identifying opportunities to innovate on top of the CLS data, which promote skills in Data Analytics
Delivering new capabilities with new technologies (i.e., machine learning) that deliver additional value
Develop data science expertise
Provide technical leadership to application developers and other internal stakeholders regarding all aspects of Centralized Logging Solution
Perform strategic planning, upgrades, maintenance and support
Actively contribute to and drive creation of artifacts for CLS Architectures, Design Considerations and Best Practices
Maintain working knowledge of alternative Log Analytic solutions (i.e. Splunk, Elastic Filebeats/Logstash and Apache Metron), as well as cloud-based offerings, including AWS capabilities
2+ years of hands on experience with Kafka
1+ years of hands on experience with Zookeeper and Ambari, Hadoop components
Experience supporting a product or service provided to a development community
BIG Data experience preferred. Chef experience beneficial
Kafka Experience. Setting up, configuration, and monitoring of solution
Exposure to: Apache NiFi, Hadoop (Hortonworks preferred), Kafka, ElasticSearch, Java (experience supporting, with tuning and stability experience preferred)
Experience with Amazon Web Services (AWS) would be beneficial

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Senior Data Engineer Resume Examples & Samples

Support of the Centralized Logging Service (CLS) and assistance in the design and implementation of the solution, based on Elasticsearch, Logstash, Filebeats, Kafka and Nifi services
Maintain a high level of competency in big data solutions and aligned technologies. i.e. ElasticSearch, Kibana, Logstash, and the Hadoop ecosystem
Maintain working knowledge of alternative Log Analytic solutions (i.e. Splunk, Elastic Filebeats/Logstash and Apache Metron), as well as cloud-based offerings
2+ years of hands on experience with ElasticSearch and Kibana
1+ years of hands on experience with Kafka
Experience in a support based operations capacity, middleware or web is preferred
Exposure to: Apache NiFi, Hadoop (Hortonworks preferred), Kafka, Java (experience supporting, with tuning and stability experience preferred)

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Senior Data Engineer Resume Examples & Samples

Strong technical engineering skills
Passionate about technology
Flexibility - ability to work in an agile, fast-paced environment
Proactive approach - see and voice pain points before they become critical
Creativity - ability to turn problems and solutions on their head and come up with better designs, better technical solutions, and better products. Think out of the box
Diligence - work with a focus on quality solutions
Hunger and eagerness to learn new concepts, new technologies, and be exposed to / adopt new ideas
Minimum degree: Bachelors
Minimum number of 8 years’ experience in data engineering field
Startup experience
Big data knowledge
Plugged into the data engineering data science community
Open source contribution
External presence in the data community (e.g. conferences, open source projects, meetups blogs, social media etc.)
Master’s or Ph.D. Area of focus: engineering/science/applied math discipline
Work diligently in and contribute to a fun, fast-paced, motivating and rewarding environment
Apply a systematic approach to the development, delivery, maintenance, and operation of our software services and offerings
Collaborate with others across the business to understand our customers’ needs and develop solutions for important problems
Design and implement solutions that meet business, functional and nonfunctional requirements, and standards
Solid execution based on established priorities
Contribute to solutions that will be used as a basis for services across the organization
Own the outcome - we continuously strive for: best products, best platform, best analyses and best company in the industry

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Senior Data Engineer Resume Examples & Samples

Build scalable and distributed search system including content acquisition, indexing, and query interfaces
Thought leadership on continuous improve on scalability, performance, and efficiency of the search system
Work with complex data structure and apply "out of box thinking" to propose creative ways to extract most out of data with various degree of quality
Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
Work cross-functionally with various Intuit teams: product management, QA/QE, various product lines, or business units to drive forward results
Contribute to the design and architecture of the project
6+ years’ experience designing and developing web, software, or mobile applications
Strong leadership experience: Leading meetings, presenting, technical go to person, and cross-functional leader
Expertise with any of the following Object Oriented Languages (OOD): Java/J2EE, C#, VB.NET, Python, or sometimes C++
Expertise with the entire Software Development Life Cycle (SDLC)
2+ years’ experience with web services (consuming or creating) with REST or SOAP
Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
Expertise in the Software design/architecture process
Expertise with unit testing & Test Driven Development (TDD)
Business Acumen - strategic thinking & strategy development
Building strong teams - set and evangelize vision, facilitative leadership, attract and retain key talent

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Senior Data Engineer Resume Examples & Samples

Rigorously applying technical expertise to challenging programming and design problems
Lead fast moving development teams using agile methodologies
Lead by example, demonstrating best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response
Roughly 70-85% hands-on coding
While you don’t have to scale buildings, you must build and implement scalable and robust systems solutions, as well as being simple and easily digestible for our end-users
Provides operational excellence through root cause analysis and continuous improvement
Strong problem solving, decision-making, and analytical skills
Excellent customer service and customer interaction skills
Ability to proactively follow issues through to resolution
Work as a member of a team and be willing to share your expertise with others
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audience
Strong CS fundamentals including data structures, algorithms and distributed systems
8 years of experience in a software development role with a focus on data systems
Hands-on experience with modern RDBMS technologies (e.g. Oracle Exadata, Vertica)
Strong database fundamentals including SQL, performance and schema design
Hands-on experience building scalable and reliable data pipelines based on Big Data processing technologies like Hadoop, MapReduce, Spark, etc. Experience with SQL on Hadoop engines like HIVE and SparkSQL
Hands-on experience and programing skill in Java and Python
Hands-on experience working on Informatica ETL (traditional Power Center and Informatica Cloud)
Hands-on experience working with large data sets, ETL approaches and building systems that process large volumes of data
Experience with the entire Software Development Life Cycle (SDLC) including Unit Testing & Test Driven Development (TDD)
Experience with BI reporting software is a plus (e.g. Qlikview, Tableau, Business Objects)
History of contributing to open source projects is a plus
Experience with SAS technology is a plus
Experience with Denodo technology is a plus
Experience with AWS is a plus

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Senior Data Engineer Resume Examples & Samples

Researches on SQL and NOSQL technologies and identifies opportunities to adopt innovative technologies
Performs all technical aspects of data architecture and database management for the Global Acquisition Persistence Tier, including developing prototypes, developing new database structures and API's as applicable
Functions as member of an agile team and manages data assets as per the enterprise standards, guidelines and policies
Typically spends 70% of time in development and testing and remainder of time collaborating with stakeholders through ongoing product/platform releases

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Senior Data Engineer Resume Examples & Samples

6+ years of Software Development experience
BSEE or equivalent in Computer Science or related field
Strong experience with an OO language, preferably Java/Scala/C++
Experience working with Relational DBs and NoSQL technologies
Experience working with latest technologies and design patterns for designing platform independent applications
Machine Learning and/or Natural Language Processing exposure a bonus
Proven track record of successfully delivering enterprise software applications using Agile methodologies
Strong analytical, problem solving and debugging skills
Ability to communicate clearly and concisely in written and spoken form

139

Senior Data Engineer Resume Examples & Samples

Lead the Master Data Management initiative within R&D
Design and facilitate implementation of data management infrastructure to streamline data mining activities
Identify optimal data analytic platforms across R&D to provide fit-for-purpose solutions
Lead data migration and curation projects as needed throughout the R&D organization
Work closely with our internal teams to facilitate drug discovery for the organization through the creation and implementation of project driven data templates
Investigate new solutions to optimize data collection, aggregation, and analysis
Elicit data management/analytic requirements using interviews and workshops, document analysis and business process descriptions, use cases, scenarios, business analysis, task and workflow analysis
Ensure adequate User Acceptance Testing (UAT) for new capabilities and solutions
Independently prioritize projects and tasks to deliver value to the business
Serve as the conduit between the customer community (internal and external customers) and Alkermes IT team
Ensure appropriate IT processes, procedures, and standards are in place
Build and foster effective relationships between the business and IT
Oversee vendor relationships for implemented technologies
Ensure adherence to FDA computer systems validation compliance
Bachelor’s degree or 3 rd level degree (EU) in Computer Science or equivalent
Experience (9+ years) in a similar role
Experience within pharmaceutical/biotech industry
Technical knowledge around R&D Systems and processes
Experience working with leading analytic tools (JMP, TIBCO, etc.)
Demonstrated ability to manage/prioritize projects and tasks for R&D IT initiatives
Experience working within a GxP environment is a plus
Investigates new technologies (and/or changes to existing technologies)
SME for key R&D data aggregation/analysis needs
Recommend technical solutions and improvements to R&D data analytic systems
SQL and Python coding a plus
Pipeline Pilot and KNIME a plus

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Senior Data Engineer, Analytic Solutions Resume Examples & Samples

Bachelor’s or Master’s degree in Computer Science or a related discipline
Experience with Tableau or similar BI tools
Experience with Aster and Hadoop platforms
Experience with No SQL methodologies

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Senior Data Engineer Resume Examples & Samples

Experience in statistics as they apply to anomaly detections
Experience in fraud and cyber security
Experience with scripting using languages like Scala or Python

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Senior Data Engineer, Analytic Solutions Resume Examples & Samples

Proven expertise in production software development
Proficient in SQL, NoSQL, relational database design and methods for efficiently retrieving data
Strong team player capable of working in a demanding start-up environment
Linux expertise
Broader experience with spring ecosystem including spring-batch, spring-mvc, and spring-hadoop
Configure a Jenkins build, create/update a Jira ticket, enable Automated Tests in gradle/maven build
Hive Tuning, Hive physical design (file formats, compression, partitioning, bucketing), Hive DSS Queries, Hive for Data Science, Hive for running R/Python (Streaming), Hive Transactions, Hive-HBase
Advanced understanding of access-driven key design, appropriate denomalization, use of co-locating records of differing schemas in a single table etc
Understanding of best practices for Hive schemas. Denormalization, partitioning and bucketing, file formats
Able to create, write to and read from Kafka topic. Understanding of key partitioning (just how it works), able to maintain an offset in the topic for consistent reading
Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage

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Senior Data Engineer Resume Examples & Samples

Develop technical solutions which may involve a variety of data development tools, preferably SQL Server or Informatica
Follows the company’s required standards and guidelines regarding the use of the tools including technical documentation
Develops simple, efficient and manageable automated solutions for highly complex database projects
Analyzes and transforms business requirements into automated solutions per development standards
Design, develop, test and support from SQL stored procedures, views, Informatica workflows, Control-M flows or script objects
Researches and resolves data issues identified by business users, IT operations, or partners
Mentors junior staff members in all areas of database engineering
Leads and manages technical team of 2-5 data engineers
Ensures development standards are maintained and best practices in development are demonstrated through official peer review
Delegates project work to team members when appropriate
Identifies opportunities to create efficiencies in technical work streams as well as in operational procedures of team
May assist in other related departments as required by business needs
Experience using MS SQL Server
Experience with Informatica Data Quality & Administration
Experience to Big Data technologies

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Senior Data Engineer Resume Examples & Samples

University degree in Computer Science or equivalent
Excellent analytical and engineering skills
Hands-on, practical skills in dealing with large amounts of data, working with databases and ETL tools
Self-thinking and having hands-on approach
Good communication skills both written and verbal
Good knowledge of English
Self starter with strong drive who mobilises people and gets things done
Knowledge in ETL processes
Experience with business requirements analysis

145

Senior Data Engineer Resume Examples & Samples

5+ years of experience designing and building scalable data applications with a focus on high volume and low latency
5+ years of experience creating and deploying highly available services with a global user base
5+ years of experience working with distributed systems
Proven ability to deliver complex projects on schedule with high quality
3+ years AWS Platform experience (EC2, S3, RDS, DynamoDB, Lambda)
3+ years experience with one or more of the following: Spark, Kinesis, Kafka, Hive, Hadoop, SQL Server and SSIS
Strong MS SQL Server skills
Strong c# and/or Java scripts skills
In depth experience with the SSIS ETL software tool. (SQL 2008-R2-2014)
Experience with c# custom SSIS tasks, including custom sources and destinations
Strong T-SQL optimization skills. Should understand indexing and partitioning of tables
Experience writing tech documentation
Experience with machine learning, predictive modeling
Experience with data visualization technologies (R, D3, Microstrategy)
Experience with large scale Data Warehouse design (Redshift, SQL Server, OLAP Cube)

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Senior Data Engineer Resume Examples & Samples

Proficient in Java development
Node.js experience, or a desire to learn
Experience working with public cloud services - GCP, AWS, etc
Automated testing / TDD
Exposure to streaming data processing tools, eg Dataflow, Spark, Storm etc
Basic data analysis
Experience running production services
Familiarity with Linux and shell scripting
A degree in Computer Science or a related field is beneficial

147

Senior Data Engineer Resume Examples & Samples

Build data expertise and own data quality for the pipelines
Build and launch new data models that provide intuitive analytics to your customers
You have developed applications within the LAMP Stack environment
Experience with Hadoop/hive, vertica, redshift, presto, pinot/scuba and data warehouse technologies is preferred
Knowledge of SQL is a must

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Senior Data Engineer Resume Examples & Samples

Helps in defining the core set of metrics, targets and sampling methodology to assess the quality of data in both graphs and in the entire flow of IP & Science data
Implements a process and reports to measure data quality and tools to access and analyze the information
Explores existing data for insights, recommends additional sources of data for improvements and applications of the data (UI, search, etc.…)
5+ years of software engineering experience
Strong analytical, debugging and problem solving skills
Proficient in one or more high-level languages: Java, Scala, etc
Working knowledge of SQL and schema design in relational databases
Working knowledge of Hadoop, Map/Reduce Framework, Hive and Spark
Working knowledge of REST based API development, a plus
Experience with knowledge-base systems, a plus
Strong sense of ownership
Eager to get to the bottom of things and gain a deeper understanding
Eager to work on the most recent technologies and constantly wanting to learn new technologies and also understand the business problems we are trying to solve

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Senior Data Engineer Resume Examples & Samples

Understanding the existing OLTP systems, operations and applications
Delivery of complex enterprise data solutions with comprehension in areas such as Architecture, Configuration, Security, Performance, Scalability
Reliability and Infrastructure
Reviewing objectives with functional experts and facilitate the discovery of entities, attributes, relationships, and business rules
Experience with advanced modeling techniques for data warehouse data; such as: normalization, SCD and star schemas
On the basis of the Conceptual design build the respective logical/physical data model
Prepare fully refined data models in accordance with the guidelines/conventions of Integration DEFinition (IDEF) or equivalent methodology
Create mapping documents that illustrate how the incoming data should be mapped to the Core Data Model
Analyze technologies, technical processes and/or functions, and document findings, identify areas for improvement and create specifications for implementation
Ensure that the Core Physical Data Model is built to perform optimally
Provide technical solutions for complex business problems related to the ETL/ELT procedures that support the data warehouse. Analyze and troubleshoot data conversion programs at operational and technical levels

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Senior Data Engineer Resume Examples & Samples

Ideally 5+ years of hands on experience, preferably in a Senior Data Engineer role
Ruby, Python, bash, and experience. Knowledge of other languages like Java, Node.JS bumps up your profile on our list
Good code hygiene, testing and documentation practices, continuous delivery/deployment (Chef/Ansible/Jenkins/Airflow)
Good design skills and optimal solutions to problems balancing scope, performance and other trade-offs

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Senior Data Engineer Resume Examples & Samples

50% Technical Execution
Design and launch scalable, reliable and efficient processes to move, transform and report on large amounts of healthcare data
Accurately estimate the size of development tasks in story points
Adhere to DOD (story definition of done) as part of the sprint, including unit tests, functional testing, code reviews, no regressions, bug fixes, documentation and adhere to best coding practices
Contribute to accurate, unambiguous technical design specifications to the appropriate detail
Learn the domain knowledge for area of assignment
Contribute to sprint planning
Contribute to agile ceremonies to improve team performance
Volunteer for work in the backlog and commit to quality delivery
Coordinate efforts within own team/ immediate team members
Effectively communicates with stakeholders in a team setting
2-4 years of experience in an engineering role
Familiarity of working in an Agile environment preferred
Knowledge of at least one modern programming languages such as: C#, C++, Perl, Java, Python, and javascript/jQuery
Ability to work collaboratively on a cross-functional team with a wide range of experience levels
Ability to write code that is technically sound, performant, scalable, and readable

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Senior Data Engineer Resume Examples & Samples

Develop and maintain Integrations (ETL) for medium to large projects
Develop and maintain integrations using a variety of ETL methodologies and tools
Understand database and other integration concepts like http, SOAP and REST protocols, etc
Develop custom data visualization solutions using Tableau, Birst, etc
Create and maintain programs, systems and associated documentation
Perform activities that support SDLC including creating and executing unit and system tests and migrating artifacts between various environments
5+ years of BI framework design and development experience
5+ years of experience in database development and ETL platforms like Informatica
Strong conceptual understanding of BI design including metadata modeling, relational and multi-dimensional databases, report development
Strong problem solving, organizational, time management, and motivational skills
Ability to collaborate with team members and stakeholders and articulate solutions

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Senior Data Engineer Resume Examples & Samples

Retrieve and analyze data using SQL, Excel, and other data management systems
Create ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting
5+ years of experience in designing data warehouse solutions and integrating technical components
2+ yrs of experience with any scripting language (Ruby, python, etc.)
2+ yrs of experience leading data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
1+ yr of experience with production BI implementation in the Cloud
Exposure in at least one reporting tool like Qlikview, Tableau, Power BI etc
Experience with building data platform on cloud (AWS)
Experience with Hadoop, MPP DB platform, other NoSQL (Mongo, Cassandra) technologies will be a big plus

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Senior Data Engineer / Sqldeveloper Resume Examples & Samples

Relational database design and maintenance using SQL Server 2016
Technical – Can work with Business Intelligence and Reporting applications; automate routine procedures and create tools that increase productivity and efficiency
Software Development – Strong knowledge of SQL Server 2016 platform, Excel, Tableau
Analytics – Experience in analyzing data, drawing appropriate conclusions, ability to effectively translate statistical findings to business strategies that positively impact the business and the customer
Data Mining – Comfortable working with large volumes of data, discovering trends and relationships between different pieces of information and enabling compelling data visualizations
Communication – Demonstrated persuasive written and verbal communication skills with ability to establish logical flow and story to present complex information in an easy to understand manner
Interpersonal/Team Skills – Ability to work well with others, not just at a social level, but by building bridges and sometimes confronting tough issues that need to be resolved for the good of the business
Personal Traits – High degree of Initiative, Integrity, Outspoken, Driven (while being a team player) and Strong Attention to Detail
Bachelor’s Degree or better in Computer Science
3+ Years Relevant Work Experience
Advanced skills in SQL Server 2014 or higher, and MS Excel
Experience with ETL processes using SQL Server Integration Services
4+ Years work experience with SQL Server Analysis Services and Reporting Services
Prior Experience with Data Analysis and Data Modeling
Must pass background check

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Senior Data Engineer Resume Examples & Samples

You are experienced in data analysis, mapping, and modeling
You have developed high performance SQL/Hive queries and data transformation jobs
You have strong relational database skills - design, scalability
You are experienced with BigData challenges and NoSQL technologies (like HBase, Hadoop, Hive, Oozie, MongoDB)
You have used UNIX/Linux, as well as scripted using either shell, Perl, Python, etc
You have designed/architected solutions that are performant and of quality standards
You are familiar with the Agile methodology, test-driven development, source control management, and automated testing
You have a track record in finding solutions to problems
You are an excellent communicator
Java experience is a big advantage
Exposure to AWS is a plus

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Senior Data Engineer Resume Examples & Samples

You should have strong Java expertise, particularly in concurrent programming techniques
You hold BS or MS in Computer Science, Engineering, Information Systems, or related field or have equivalent working experience
You have keen understanding of state-of-the-art techniques and trends in data management, high-scale network applications and distributed algorithms
You have experience and/or interest in any of the following domains

157

Senior Data Engineer Resume Examples & Samples

3+ years’ work experience in software development area with at least 2+ years’ experience in Java programming
Familiarity with search/recommendation/classification applications and domains preferred
Strong communication skills in Oral and Written English

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Senior Data Engineer Resume Examples & Samples

Data processing, integration, modeling and performance tuning
Maintain and improve on existing data solutions and ETL processes
Develop and maintain powerful data presentation and exploration solutions
Data extraction from external partners
5 year experience in a data warehouse development and/or data engineering role
Strong scripting experience with Python
Experience with Microsoft SQL Server
Team player – ability to work with multiple cross-functional groups, including business & technical teams
BS/MS in Computer Science, Engineering, etc

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Senior Data Engineer Resume Examples & Samples

Experience with a DW technology (Oracle, Teradata, Netezza etc) and relevant data modeling best practice
Experience building ETL and familiarity with design principles
Excellent SQL skills
Strong communication skills and ability to discuss the product with PMs and business owners
M.S. degree in computer science, mathematics, statistics or a similar quantitative field
Experience with Redshift or another columnar store DW
Experience with cloud solutions / AWS
Experience working with predictive analytics/decision models/data mining libraries as well as the tools for developing such
Experience building flexible data APIs that consumers use to power other parts of the business

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Senior Data Engineer Resume Examples & Samples

5+ years engineering experience
Perform daily data loads ensuring recurring updates are logged and tracked
Interface with other technical personnel or team members to document, interpret, and finalize requirements
Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc
Write and review portions of detailed specifications for the development of data components
Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate
Identify opportunities to apply automation or other tools to improve effectiveness or efficiency
Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs
Innovate process improvements that enable efficient delivery and maintenance
Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders
Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency
Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles
Design and works with complex data models
Mentor less senior data engineers on methodologies and optimization techniques
All other duties as assigned
Advanced knowledge of software development methodologies (e.g., Agile, Waterfall)
Strong proficiency with data manipulation language including optimization techniques
Strong understanding of normalized/dimensional data modeling principles
Strong knowledge of multiple data storage subsystems
Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC
Strong knowledge in Industry data engineering best practices
Knowledge in using and developing in applicable toolsets
Ability to interface competently with other technical personnel or team members to finalize requirements
Ability to work well with internal and external technology resources
Knowledge of test-driven development
Ability to write and review portions of detailed specifications for the development of complex system components
Understanding of automation/other tools to increase efficiency
Good problem solving and research skills
Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository

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Senior Data Engineer Resume Examples & Samples

Gathering data from disparate sources and performance metrics reporting (WBR/QBR/MBR)
Providing data analytics support on six sigma and Kaizen projects
Manage and report quality and productivity metrics that help DSPs monitor and manage their operations optimally
Creating dashboards for productivity and quality metrics using tableau and excel to enable the stations and DSP's to gather actionable insights on their operations
Building strong working relationships with the DSP's, Account Managers and Amazon Logistics delivery stations
Providing consulting to the DSP's on the operations metrics to help improve their operations
Working with Last Mile technology teams to drive automation of dashboards
Managing challenging projects - work prioritization and planning
Managing and executing entire cross-functional projects from start to finish; including data gathering and manipulation and analysis and communication of insights and recommendations
Willingness to travel to delivery stations (50% of the time) in the network to gather insights and drive usage of dashboards and metrics among the stations and DSP's
Minimum five (5) years of relevant experience in a business intelligence role, including usage of business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
Advanced knowledge and expertise with excel and SQL
Knowledge and direct experience using business intelligence reporting tools like Tableau
Demonstrated ability to foster cross-functional relationships
Demonstrated highest level of integrity, intellectual honesty, and strong work ethic
Sharp, analytical, and thoughtful. Thoroughly thinks through problems to come up with solutions
Proven ability to successfully thrive in an ambiguous environment and changing market conditions
Takes initiative. Doesn't wait to be asked. Plans efficiently while avoiding analysis paralysis
Consistent effort, intense commitment, and willingness to go above and beyond when needed
Strong team player, acts like an owner, and ultimately focused on delivering results with high standards
Demonstrated ability to work in a fast-paced, deadline-oriented work environment
Ability to travel approximately 50% of the time

162

Senior Data Engineer Resume Examples & Samples

Monitor data use, retention, and dissemination to ensure compliance with data use agreements, legal authorities and internal policies
Work with senior levels of government to conduct periodic reviews of past compliance incidents in order to validate the completion of remediation measures and to evaluate the effectiveness of those remediation measures
Draft compliance assessments for all confirmed compliance incidents; coordinate those incidents across stakeholders, and with the internal IT, legal, and civil liberties and protection offices as needed
Work with policy, legal, civil liberties and policy working groups to determine if enhanced safeguards are recommended for a myriad of data
Conduct an annual review of existing datasets to determine if retention is needed
Work closely with policy officers on all matters that may impact compliance and/or compliance related activities and alert the government of any deficiencies as a result of a compliance incident
Collaborate with metrics, policy, legal and civil liberties offices to review and update processes on a routine basis
Conduct semi-annual training for senior government leaders
Conduct auditing of enhanced safeguards
Draft annual reports on data use, retention and compliances and compile quarterly compliance metrics and reporting
Knowledge of data science and data analytics
Knowledge of counterterrorism (CT) data sets and handling procedures
Demonstrated experience working CT issues in the IC or DoD
Ability to readily engage with and brief senior government officers

163

Senior Data Engineer Resume Examples & Samples

Perform customer support for current Research data assets, including diagnosis and resolution of data issues
Work with business customers to help develop requirements for new data structures
Perform data analysis and rigorous testing to ensure high quality assets
Support documentation, metadata and data visualization of the assets
Bachelor's Degree or higher in Statistics, Business, Computer Science, MIS or related field

164

Senior Data Engineer Resume Examples & Samples

Being an effective bridge between the Centre, IT and our Global Big Data Infrastructure platform to ensure that the data work streams are effectively collected, organized and processed
Making data actionable by designing and building effective application programming interfaces -- APIs -- and services that allow the data to flow into any system that can make use of the information in real-time
Technical expertise for design, development, implementation of information storage and retrieval, data flow and analysis and provide effective recommendations based on trades among data volumes, number of users, logical and physical distribution, response times, retention rules, security and domain controls
Developing relational and/or Object-Oriented databases, database parser software and database leading software
Maintaining and updating for new development a set of records for, but not limited to, creating or recreating ad hoc queries, scripts, codes, and macros
4+ years of experience in this field
At least a Bachelor’s degree from Computer Science, Computer Engineering or Information Systems
Strong programming skills in Java, c++, nodejs and scripting languages such as python, PHP, and understanding R will be a plus
Strong experience in database of SQL and NoSQL
Experience with “big data” technologies such as Hadoop, MPP databases
Experience in web application development such as web server technology, HTML5, Javascript, AJAX, and XML etc
Track record of independent learning and technical problem-solving
Demonstrated ability to work collaboratively in a team
Ability to develop and communicate creative solutions to technical problems
Self-starter and motivated
Confident, responsible and can proactively think of and implement solutions to tricky problems
Start-up experience and hands-on; you can BUILD!

165

Senior Data Engineer Resume Examples & Samples

Develop data ingestion jobs in tools such as Talend and Spark Streaming to acquire, stage, and aggregate data in technologies like HAWQ, Hive, Spark, HDFS, and Greenplum
Use and write ingestion jobs using both built-in Talend components and custom made scripts in Python, Java, and Spark
Develop automated testing for code deployment
Write custom scripts in Python, Java, R and Spark to transform and pivot data
Write data ingestion flows using message queuing
Optimize Talend jobs to reduce memory and storage consumption
Architect and model to-be data structures based on customer requirements
Strong understanding of data architecture principles, including exposure to relational vs. semi-structured vs. unstructured data types and technologies
Experience with Hadoop data flow tools such as Sqoop, Flume, and Nifi
Experience consuming REST and WSDL services with data integration tools

166

Senior Data Engineer Resume Examples & Samples

BS/BA Computer Sciences, Math, Statistics or related field
Experience managing large-scale data warehousing environments with Oracle, AWS Redshift, Teradata, etc
Data architecture and data modeling experience
MBA / Master’s / Ph.D degree
Understanding of Big Data technologies and solutions (Hadoop, Hive etc.)
Experience with Amazon Web Services (AWS)
Coding proficiency in at least one modern programming language (Python, R)
Experience working within a high-growth technology company
Experience rapidly growing an organization and attracting, hiring and maintaining top talent

167

Senior Data Engineer Resume Examples & Samples

Design, build, and maintain scalable data intensive solutions to support data, reporting, and analyics needs of HA’s Commerical, Revenue Management, Operations, and Maintenance organziations, using emerging technologies
Develop scripts and data pipelines to ingest and process high volume real-time data streams to feed downstream operational and anlalytical systems
Understanding of IoT concepts and applications
Ability to work on multiple projects simultaneously with limited supervision
Team player with excellent collaboration skills

168

Think Big Senior Data Engineer Resume Examples & Samples

Excellent interpersonal skills with senior stakeholders. Strong verbal and written communication, with good exposure to working in a cross-cultural environment, and the ability to present comfortably in small audiences. Experienced in writing documents that communicate complex technical topics in an accessible manner
Experience with data architectures. Knowledge and experience of structured, semi-structured and unstructured data. Knowledge and experience of Big Data and/or Analytics technologies and tools, as the Hadoop ecosystem, Apache Hive, and Spark, among others. Experienced with data governance and security, data-related methodologies, and enterprise ones
At least some experience in other data platforms, such as relational database systems, data warehouses or other OLAP systems, and in delivering enterprise-level ETL pipelines, data workflows, migrations and lifecycles, is also requested
A background on software development, continuous integration, tooling and software architectures is needed, either in in enterprise environments, system integration, or science-related ones. You are proficient in either Java, Scala, C, Python, SQL, Ruby, Clojure, etc. You may also have some experience with Tableau, Shiny, R, Javascript, and so forth
Experience in high-end enterprise environments. Understanding of Data Center concerns. Understanding on the topics that arise when working for large organizations
Seven years or more experience in relevant roles
Computer Science, Mathematics, Physics, Engineering, or other relevant degree
Consulting experience is considered a plus
Client facing experience

169

Senior Data Engineer Resume Examples & Samples

Recognize and adopt best practices in data warehousing and business intelligence: design, testing, version control, documentation, build, deployment, and operations
Write high quality, maintainable, and robust code, often in SQL, PL/SQL, or MDX
Recognize and use design patterns to solve business problems
Own the design, development, and maintenance of scalable/automated/user-friendly back and front-end systems to support ongoing metrics, reports, analyses, dashboards, etc. which drive key business decisions
Collaborate across the business and finance organizations to develop best practices for your function and advocate for improvements in enterprise-wide tools
Bachelor's degree in Computer Science, Information Systems, Mathematics or related technical field
5+ years’ industry experience in data modeling, ETL development, and Data Warehousing
Proficient in SQL/Postgres SQL, and Excel
Experience contributing to data engineering best practices, recommending changes in development, training, maintenance, and system standards
Experience working with business intelligence tools such as Cognos, MicroStrategy, R, Tableau, Oracle BI, Pentaho, SSRS, etc
Experience with AWS technologies such as Redshift, RDS, EMR, S3, etc
Experience in developing and deploying DataMart or data cube solutions
Coding proficiency in one modern programming language (e.g. Python, Ruby, and Java) is desired
3+ years development experience with notable BI reporting tools (e.g. OBIEE, Cognos)
Advanced analytical skills and demonstrated ability to meet deadlines while managing multiple large scale projects in a fast-paced and rapidly changing environment
Strong interpersonal skills, including written and oral communication skills

170

Its-senior Data Engineer Resume Examples & Samples

Develop SQL code sets to meet stakeholders' large data extract and reporting requirements
Prepare data sets per requirements documentation for delivery and analysis of data
Coordinate with the Manager of the Office of Enterprise Data Management & Analytics, Contracts office, and Security Officer to ensure all proper paperwork and approvals have been obtained
Use advanced SQL skills to build scripts to validate results sets, and ensure resolution of issues related to data
Ensure research security and policy are followed for data requested from the ProviderOne data from the ODS and TDS
Works with project manager, business owner, business analyst and clients for gathering and documenting issues with data in reports and/or data pull requirements
Responsible for tracking and ensuring that documentation is closed out appropriately and tracking of all requests are completed
Responsible for making the final determination of the completeness of the data extracts and providing information requested to the stakeholders within the appropriate timeframe
Work with team to ensure data integrity, accuracy, and quality is present in all data requests
Meet with stakeholders to ensure understanding of data needs, negotiate to ensure agreement on output and definition of data sets
Document all data logic, purpose, code, delivery schedules, etc related to data requests
Ongoing maintenance of SQL logic, requirements and formats to meet changing business needs, policy or procedure changes, to ensure effective, accurate, efficient data sets and data retrieval methods within a functional and technical environment
Four (4) years of experience working with a large data warehouse
Four (4) years of experience writing data querying code, performance tuning
Four (4) years of experience utilizing testing methodologies
Two (2) years of experience developing reports using Microsoft Reporting Services (SSRS) or equivalent software
Two (2) years of experience in interface development using SQL Server Integration Services (SSIS) or equivalent software
Effective oral communication and facilitation skills
Knowledge and experience with software development life cycle
Strong analytical and problem solving skills, including the ability to identify and communicate technical issues
Ability to interpret and document detailed technical information
Knowledge and experience of Medicaid health care claims processing. This includes a working knowledge of medical, dental, institutional, pharmacy coding and HIPAA terminology
Knowledge of the ProviderOne Data Warehouses
A cover letter

171

Senior Data Engineer Resume Examples & Samples

Great at scoping requirements
Launched of the projects or products
Excellent at communicating with users, other software teams, and management
Great at describing software/data product features, and technical designs
Works well with other cross functional teams to create and maintain best practices
Background in Big Data, Machine Learning and Data Mining is a plus
Contribute to technology decisions for the data infrastructure
Develop standards for development practices, testing, and operations of the data infrastructure

172

Senior Data Engineer Resume Examples & Samples

Define the data requirements for specific business problems and Identify sources of data in consultation with business clients (e.g., in-house data store/warehouse, external data mart, etc.)
Create and maintain documentation of data models
Identify and resolve data/information gaps for meeting business objectives/goals including data quality issues and sources (data feeds, the master data, etc.)
Work with stakeholders to establish optimum data models for a given problem
Define technical requests for Technical Specialists to perform, such as detailed data linking or parallel processing requests
Ability to write production level code
Exposure to R and Python
Familiarity with statistical methods
Understanding of visualization tools such as Tableau
Experience working with customers (consulting experience a plus)
Diverse data set experience

173

Senior Data Engineer Resume Examples & Samples

Mentoring junior engineers
At least 5+ years of relevant experience
Experience mentoring junior staff. Desire to share and inform others
Experience discovering and integrating new datasets, building data pipelines, doing complex transformations, process automation, testing, and validation
Experience working with data in support of predictive modeling strongly preferred
Experience with Agile project management strongly preferred

174

Senior Data Engineer, Informatics Resume Examples & Samples

Lead business intelligence initiatives throughout the company
Work directly with users across the company to understand their requirements
Architect and implement a company-wide data warehousing and business intelligence strategy
Collaborate with stakeholders and technical peers throughout Moderna
Help shape the growth and design of in-house data resources to support BI and analytics
Degree in Computer Science or a related discipline or equivalent experience
Experience in designing/delivering business intelligence dashboards, visualizations, and reports
Expertise in architecting ETL pipelines
Experience with multiple business intelligence tools (SpotFire, Looker, Web Intelligence)
Experience with a variety of data warehouse technologies (HANA, Redshift)
Broad experience in multiple programming languages (Python, JavaScript, Java)
Familiarity with modern full-stack web application technologies (Node.js, AngularJS)
Design, modeling, and use of relational and NoSQL databases
Experience with a variety of web service technologies (REST, SOAP, XML, JSON)
Software development best practices including agile, version control (Git), and code testing
Experience with infrastructure-as-a-service (preferably AWS) and Docker
Knowledge of statistics, analytics, and effective data communication
Strong written and oral communication skills, comfort with senior management interactions

175

Senior Data Engineer Resume Examples & Samples

Enforces a global standardized dictionary of nomenclature and terminology for definitions within the organization when it comes to metrics
Aids in the creation of reporting around key performance indicators for the various functional areas (departmental, regional, or other business areas) within the company
Creates mathematical models that enable key predictors of the corporation in relation to service or to the business units
Performs data mining on available data to build aforementioned reports and mathematical models
Works with the IS department in the realization of new BI and reporting technologies
The person will become the expert for reporting in their area of responsibility
When the person leads a project, he/she will be responsible for managing the activities required to meet the project's objectives within the constraints of an allowed budget and a desired timeline
Minimum of a BS in business, mathematics, or related studies; 5+ years of experience in roles with heavy business analysis requirements
Experience using Microsoft SQL server Business Intelligence Development Studio
Experience in developing data extraction packages using SSIS
Experience in developing reports design and development using SSRS
Experience in Cube design and development using SSAS
Full Life Cycle Experience in Model, Design, Development of Data warehouse/ETL/BI Solutions
Strong Back End development skills and knowledge of relational databases (Oracle, Microsoft SQL Server, or others)
Good Database development experience for both OLTP & OLAP Systems
Build SQL to conduct statistical analysis
Self-discipline and motivation
Process oriented and customer focused
Knowledge of Microsoft SQL (2000-2013), SharePoint (2010, 2013), SSRS, and various BI platforms a plus
Knowledge of advanced mathematical software (Mathcad, Matlab, Mathematica, Minitab, or SAS) a plus
Advanced knowledge of Microsoft Office (Word, Excel including PowerPivot, Access)
Superior analytical, problem-solving, and critical thinking skills
Willingness to learn a broad set of business and operational metrics, including sales, finance, and supply chain management
High intellectual curiosity and a proactive self-starter
Quick learner – able to learn organization, new analytical approaches and tools
Strong written, verbal and presentation skills
Other requirements as deemed necessary by management
Proven ability to communicate effectively with team members and leadership to fulfill company goals
Strong time management skills and the ability to complete projects with minimal supervision
Ability to multi-task and prioritize multiple job functions to ensure deadlines are met
Knowledge of operational call center business processes and factors affecting service levels

176

Senior Data Engineer Resume Examples & Samples

Analyze, design and implement SSIS ETL solutions/and DOT NET applications
Troubleshoot and identify root cause of reported discrepancies in data
Develop SSIS packages of high complexity to fulfill the business requirements
Analyze and validate data to ensure business requirements are satisfied
Support delivery and deployment of defined technical solutions
Communicate accurate and timely project status, issues, risks and scope changes
Bachelor's degree in Computer Science or related field, or equivalent combination of education with 8 to 12 years related IT experience
Experience in developing SSIS packages of medium to high levels of complexity in SQL server 2005-2014
Experience with ETL tools such as Talend
Experience in developing Dot Net applications including .EXEs for ETL tasks
Hands on experience on MySQL/Oracle/SQL Server
Knowledge of Oracle and PL-SQL /MSSQL
Proficiency in writing and tuning T-SQL queries and stored procedures and system housekeeping expertise
Well versed with database concepts
Well versed with client scripting languages
Strong problem resolution skills
Strong understanding of ETL processes design and report development principles
Strong teamwork and customer support focus
Ability to handle numerous conflicting priorities in a professional manner
Good written (technical documentation) and verbal communication skills

177

Senior Data Engineer Resume Examples & Samples

Lead development for new products
Analyze massive amounts of data both in real-time and batch processing
Prototype ideas for new tools, products and services
Employ rigorous continuous delivery practices managed under an agile software development approach
Raise the bar for the Engineering team by advocating leading edge practices such as CI/CD, containerization and TDD
Enhance our DevOps practices to deploy and operate our systems
Automate and streamline our operations and processes
Build and maintain tools for deployment, monitoring and operations
Troubleshoot and resolve issues in our development, test and production environments
5+ years programming experience
Experience in software development of large-scale distributed systems – including proven track record of delivering backend systems that participate in a complex ecosystem
Experience in data related technologies and open source frameworks preferred
Proficient in Unix/Linux environments
Enjoy working with data analysis, data quality and reporting
Excellent communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly
Great design and problem solving skills
Keen attention to detail and high level of commitment
Thrives in a fast-paced agile environment. Requirements change quickly and our team needs to constantly adapt to moving targets

178

Senior Data Engineer Resume Examples & Samples

Top decile skills and experience in the data domain. We aren’t overly concerned with specific technologies, though we expect top decile professionals to know the industry, how it’s evolving, best practices, and what tools are good fits for what jobs. We want somebody to spend their time ramping up on our use cases, not the tech
A significant amount of experience in a Senior or Lead role where you’ve been the decision maker for major architectural decisions around the kinds of data pipelines we want to build
A desire, and level of comfort, in working on mission critical projects from start to finish
Exceptional communication and collaboration skills

179

Senior Data Engineer Resume Examples & Samples

Develop, maintain and support an Oracle DB and the ETL processing to support the WFX team
Highly skilled in organizing and prioritizing large workload including development and maintenance under change management
Successful operational installation of assigned projects
Be the source of basic understanding of all WFX processing including Oracle DB and other sources
Provide database technical expertise and direction for development team members and external contacts
Develop new processes and modify existing processes including problem ticket research and resolution
Produce implementation plans and tasks for small project installation and database fixes
Work within a cross functional Agile team to develop new components in a highly iterative fashion. Involves close collaboration with product owners, QA, and operational teams
Work effectively with client support and implementation partners to resolve application issues
Actively participate in project and team meetings
The top performers in this group pay close attention to detail, understand the need for in-depth testing
Perform under minimal supervision on significantly complex assignments
No direct/indirect supervision of other team members
Bachelor’s degree in Computer Science, Computer Engineering or a technically related field or equivalent experience
20+ years of experience in Oracle database development required
Experience working in a team environment and mentoring co-workers as needed
Technical experience in database design and data modeling
Unit Testing skills in a large DB environment
Database user administration and data security
Technical knowledge in software development methodologies and design
Experience working with Microsoft development tools and a desire to learn more
Key skill requirements for this role include: Linux, ksh scripting, Oracle, PL/SQL, Oracle Utilities, Oracle RAC, PostgreSQL, and database performance concepts with emphasis on transform and load and parallel processing
Experience with Oracle Replication using materialized views
Beneficial skills include: Oracle Backup/Recovery and Performance Tuning, Perl
Excellent verbal and written communication skills as well as interpersonal skills to communicate database concepts clearly to developers and client support personnel
Self-motivated individual who works well in a team environment

180

Senior Data Engineer Resume Examples & Samples

Provide technical leadership and being the subject-matter-expert to evaluate, architect and deploy big data solutions that can adequately handle the needs of a rapidly growing data driven company
Architecting and scaling data analytics infrastructure on AWS; finding opportunities to improve and optimize the workloads, processes to ensure that performance levels can support continuous accurate, reliable and timely delivery of key insights
Run continuous uptime of Data services by implementing High Availability tools and best practices
Lead the continuous testing and deployment of data pipelines, new data services and analytical reporting dashboards
Spearhead the development of systems, architectures, and platforms that can scale to the 3 Vs of Big data (Volume, Velocity, Variety)
Led and mentored a team of Data Engineers
Proficiency in Hadoop, Kafka and Spark databases in a large scale environment
Led the movement cleaning and normalizing subsets of data of interest as preparatory step before deeper analysis by the data scientists
Well versed in setting up continuous integration(Jenkins) and deployment (Ansible/Chef) for big data or other projects

181

Senior Data Engineer Resume Examples & Samples

Work closely with the internal customers to design, build, deploy and operate their data warehouse capabilities
Work with ingestion developers to bring required source datasets into the data warehouse
Design a dimension model appropriate for customer business use cases
Design and develop ETL code to populate the dimensional model
Define SLAs for data availability and correctness
Work with BI developers to ensure that the data warehouse is providing the required data and the required performance
Demonstrate commitment to your professional development by attending conferences, taking classes, giving technical presentations, and participating in developer communities inside and outside of Intuit
BS in Computer Science. MS preferred
Excellent interpersonal and communication skills, including business writing and presentations. Ability to clearly communicate objectives, plans, status and results, focusing on a few critical key points
5+ years of hands-on software engineering experience
5+ years experience building data warehouse solutions using MPP technology
5+ years experience developing solutions using Hadoop
Mastery of Dimensional Modeling
Experience leading successful cross-functional agile development teams. This includes gathering requirements, designing solutions, creating JIRA stories, managing the backlog, planning sprints, leading daily standups, giving product demos, and reporting status to senior management

182

Senior Data Engineer Resume Examples & Samples

Independently develop, test and deploy enterprise-ready data products
Creates novel data integration solutions
Demonstrates advanced knowledge of and expertise in the technical facets of ETL (Extract Transform and Load), Data Warehousing and BI (Business Intelligence) concepts and tools
Exhibits advanced knowledge of SQL; relational and multidimensional models, Data Warehousing methodologies (STAR and Snowflake Schemas), ETL concepts; and source and target structures
Exhibits ability to perform advanced aspects technology to install, test, maintain, develop, provide technical support of, understand and modify existing code and develop new code in areas listed above
Understands institutional data model standards and can employ them in the environment
Exhibits the ability to work with minimal supervision in support of team initiatives
Performs project evaluation and/or installation, testing and support
Participates in the development and maintenance of change control methods
Maintains and operationally supports data products
Collaborates extensively with stakeholders
Works with analysts to identify and understand requirements and source data systems
Demonstrates the ability to serve as a resource for other team members and to instruct other staff on various technical matters
Two (2) Certifications or proficiency in appropriate Business intelligence/Data Warehousing technology or subject domain
Bachelor’s degree in computer related field required
3-5 years of Business Intelligence/Data Warehousing experience, preferably in a healthcare environment

183

Senior Data Engineer Analytics Resume Examples & Samples

Build, scale and maintain data pipelines to process billions of daily events into our Spark and Snowflake data warehouse
Ability to be able to know how to use the tools and also understand how the technology behind them works
Write and tune complex Java, Scala, Spark, Airflow jobs
Work closely with the Unity Engine, Analytics and Services teams worldwide

184

Senior Data Engineer Resume Examples & Samples

5+ years DBA experience
In depth experience working with the Oracle ETL technologies including
Oracle Data Integrator
Oracle SQL Developer
Oracle Data Modele
Oracle Golden Gate technology
In depth experience working with Oracle BI tooling
Experience creating logical data models
Apex application development
Install, patch database software
Create and configure databases
Configure database network services
Backup and recovery, storage management, managing user accounts
Database security
Monitoring and tuning performance at the SQL and DB layers
Ability to work with developers to incorporate their micro-service data into the master data warehouse

185

Senior Data Engineer Presales Resume Examples & Samples

Communicate the business value delivered by the technical features of the Pivotal Data Suite
Use use-cases and examples to communicate product value
Work with Data Sales Specialists and Project Data Engineers to ensure customer success
Communicate complex technical concepts to architects
Manage and execute product evaluations with customers
Regular ravel to client and prospective client sites, estimated at 30% travel
Experience with selling or deploying in-memory data grids, or equivalent enterprise solutions
5+ years experience in technology roles such as customer-facing pre-sales Engineer or Consultant
Java/Spring development skills with recent hands-on experience
Able to see and communicate the big picture
Able to architect solutions for transactional and event processing related use cases
Able to evangelize products, people, and process to drive adoption of Pivotal products and services
Ability to deliver impromptu presentations via white board
Strong customer facing and relationship building skills including
Strong listening and question based knowledge gathering skills
Works both independently and collaboratively as needed
Direct experience working with other IMDG products
RDBMS experience
Understanding of parallel processing approaches and concepts is a very strong asset
Understanding of the hardware and networking architecture behind large scale clustered systems
Industry knowledge of data technology, including Spring Data, Hadoop stack components, and other NOSQL and document type databases
A Bachelor’s Degree in Computer Science, Engineering, Mathematics, related field or equivalent experience

186

Senior Data Engineer \ Data Engineer Based on Experience Level Resume Examples & Samples

Development of advanced claim monitoring metrics and leading indicators for process improvement, which includes becoming the subject matter expert of the data and ownership of metric definitions
Collaboration within the team to support data needs and team members’ analytics
Creation, development and maintenance of data assets (Oracle) which includes data extraction and delivering business intelligence tools such as MSBI
Creation/development of the Predictive Analytics Rules (PARE). PARE is a new application that leverages data and analytic scores to create actions for Claim handlers. This position will use a deep understanding of claims data to write sophisticated rules (SQL) and will be responsible for monitoring and reporting on rule performance
Data consultant through participation in investment projects, providing guidance from a data perspective and defining business requirements
Provide deep dive analysis into emerging trends and derive new business insights, explaining results and recommendations to the Claims team and to Senior Claim Leadership
Documented track record of creating innovative data solutions; passion for delivering outcomes
Advanced experience writing SQL scripts, including use of analytic functions and query tuning
Deep understanding of relational databases and dimensional data models
Experience and technical skills to transform, manipulate and store data
Strong analytical skills required to relate data and business processes
Ability to effectively communicate information regarding availability, quality, and other characteristics of the data to a diverse audience
Knowledge of Oracle Exadata is a plus
Demonstrated ability to build strong partnerships (essential to success for this role)
Ability to analyze source systems and provide business solutions
Auto and/or Property data experience is a strong plus

187

Senior Data Engineer Resume Examples & Samples

Contribute to SIA’s data and analytical agenda by managing the company's flow of information
Design and maintain the databases that provide informative and relevant data to members of data science team
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
Work closely with business users and IT engineers to best determine necessary data groupings, associations, relationships, and categories to integrate innovations into production systems, enabling optimal utilization and insight generation
Code systems to prep, transform and process unstructured data from source to source in an automated manner into a form suitable for analysis
Applications in data mining, machine learning, natural language processing, or information retrieval
Integrate new products and software packages into the system
Identify opportunities to access additional data, continuously scaling data repositories and capabilities
Stay current with leading edge systems, methods, and best practices for big data/data science analytics and data infrastructure
BS/BA in Computer Science, Mathematics, Engineering, or equivalent experience utilizing a different degree
MS or progress towards MS in Computer Science, advanced Math, Engineering, Applied Statistics, or Statistics preferred but not required
Combination of technical/quantitative and business and experience preferred but not required
Experience identifying and managing large external data sets for on-premise integration and warehousing and/or internal integration initiatives with CRM systems a plus
2+ years of technical/computer science experience
Expertise in Sql (Oracle, Postgres etc)
Expertise in python, shell scripting
Strong Core java skills
Experience with AWS EMR and S3
Experience working with Rest web services
Experience working with version control tools (Git,Subversion)
Experience with NoSSQL databases like Hbase, Cassandra, AWS Dynamo DB a plus
Experience with large volume of data with big data tools sets like hadoop map reduce, hive, pig, spark is a plus
Direct experience capturing and analyzing external data a plus
Strong communication, organizational and multitasking skills with ability to balance competing priorities

188

Senior Data Engineer Resume Examples & Samples

Help develop, enhance, and automate processes for queuing and prioritizing data management and curation requests
Empower scientists with tools, processes and data structures needed to support project objectives, including data integration efforts that may span multiple studies or experiments
Ensure accurate, complete and timely collection, delivery and tracking of analytical information from internal or contract laboratory providers or collaborating laboratories for curation, ingestion and delivery to computational and translational scientists
Work with R/ED study teams to develop R/ED information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity and interpretability
Acquire user feedback to inform business requirements for future data systems development
Bachelor’s degree in a relevant discipline with at least 14 years’ experience, Master’s degree with at least 12 years’ experience or PhD with at least 6 years’ experience in biomedical data management, assay development, specimen data management or related discipline
Extensive practical experience in curating and working with diverse but highly-connected scientific knowledge collections and their query interfaces to enable research hypotheses around compound targets, mechanisms of action, and patient response
Demonstrated ability to understand and translate high-level scientific datasets and results into data curation and management strategies
Proven ability to work in a team environment with clinical personnel, operational personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers
Demonstrated proficiency with current software engineering methodologies, such as Agile, source control, project management and issue tracking
Working knowledge of cloud computing. Preference will be given to candidates with AWS experience
Working knowledge of Rest APIs and container strategies strongly preferred
Experience producing visualization of data sets (eg., R/shiny, Spotfire, etc)
Must have excellent written and verbal communication and presentation skills

189

Senior Data Engineer Resume Examples & Samples

Participate in the development process from definition to deployment
Develop cutting-edge technologies to improve Sensus’s software offering
Create and maintain back end oriented services and micro-services utilized by the rest of our architecture
Maintain and improve existing cloud-based applications, reducing costs and streamlining efficiency
Engineer code that is efficient, standard and well documented
Take on challenging tasks as needed with an eagerness to develop skills in new areas
Bring to the job an excitement and work ethic on par for a startup technology firm
Experience with *nix platform deployment and administration
Experience with a time series database (influx, pi)
Experience with Microservice development and the application of DDD concepts
Experience with secure credential storage and management (RBAC)
Experience with various programing languages such as Go and python
Experience with EventStore concepts using technologies like Kafka
Experience with server-side MVC containers (Spring, Struts, Play Framework)
Experience with Agile methodology or similar lean startup approach to building software

190

Senior Data Engineer, Analytics Resume Examples & Samples

Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
Be part of a team that is creating a brand-new product line
Collaborate with team members to help shape requirements
Actively engage in technology discovery that can be applied to the product

191

Senior Data Engineer Resume Examples & Samples

7+ years of solid experience around Data Integration, Data warehouse and Big Data technologies
7+ years of Experience developing Data Integration solutions using various design patterns which include, but are not limited to Batch and Streaming ETL, Publish & Subscribe, SOA, and Data Replications
Strong experience around SQL, Scripting languages preferably Python, Object Oriented languages preferably Java
Solid Experience around developing Big Data applications which include, but are not limited to Big Data tools like Hive, Spark, Pig, and Flume
Experience with data integration frameworks and design patterns like EAI, ETL, Publish and Subscribe, SOA
Excellent knowledge on Hadoop, RDBMS and ETL Technologies preferably Datastage
Excellent knowledge on Apache Spark, Hive, Flume, Sqoop, Kafka, Pig and Oozie
Excellent interpersonal, written, and verbal communication skills, with the ability to interface effectively with individuals at various levels, both internal and external
Analytical, with strong problem-solving abilities and creative resolution skills
Self-motivated, with the ability to work on multiple projects in a fast-paced environment
Ability to remain organized, pay strict attention to detail, and meet critical deadlines within a high volume, fast-paced environment
Excellent analytic skills with the ability to use key tools to dive deep and provide analysis consistently on performance metrics
Data Integration development responsibilities for enhancing and maintaining Data warehouse and Big Data roadmap ensuring Data Integration aligns to business centric roadmap and analytics capabilities
Partner with BI teams, Data Integration developers, Data Scientists, Analysts and DBA’s to deliver well-designed scalable Information Management eco-system
Provide expertise and recommend solutions to complex Big Data technical issues
Formalize standards and best practices for Big Data applications, Real-time data integrations and establish design patterns for scalable analytics eco-system
Evaluate and recommend emerging technologies and options for data integration and data management on a Hadoop Big Data platform as well as Apache Spark framework
Develop a thorough understanding of Academy policies, procedures and safety rules
Responsibilities may change; team members may be required to perform other tasks as assigned

192

Senior Data Engineer Resume Examples & Samples

Data modeling, ETL, and Data Warehousing experience 5+ years
Python Scripting (or other platform-agnostic language) experience 3+ years
Ability to meet tight deadlines and prioritize workloads in a fast paced environment
Comfortable in a Linux environment

193

Senior Data Engineer Resume Examples & Samples

Provide data modeling, mining, pattern analysis, data visualization, artificial intelligence (AI) and machine learning capabilities and solutions to address the business and customer needs
Identifying patterns in HR data streams and generating actionable insights
Conduct regular and ad-hoc analyses, data mining and predictive analytics to provide senior business leaders with actionable insights at tactical and strategic levels related to human capital
Promote data science methods and processes across the enterprise
Work with our business partners, application and infrastructure teams in developing strategies that will clearly outline how our enterprise platforms can enable business growth & productivity by seamlessly combining structured and unstructured data into a single, self-service analytical environment
Work closely with strategic and research vendors in the marketplace to stay current on industry trends, challenges, and potential market opportunities and provide the marketplace insights to the business partners in driving new capabilities within the enterprise
Create Machine Learning (ML) algorithms for in-house use
Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools
Applies visualization and other techniques to fast track experiments and proof of concepts (POCs)
Position requires a Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Applied Math or related field, followed by 8+ years of progressively responsible data science and analytics experience
Hands-on experience with application design, software development and automated testing
Deep understanding of statistics, machine-learning approaches, data mining, clustering and classification techniques, and optimization algorithms applicable to processing large scale datasets
Experience with Big Data Technologies such as (i.e. Hadoop, Hive, HBase, Map Reduce and Pig scripting) is required
Prior work experience in at least one statistical programming language, preferably R
Prior work experience with programming languages such as Java/Python
Prior work experience with Reporting/Dashboard Development, Analytics, and OLAP cubes that include tools like Tableau, OBIEE, etc
Prior Experience with ETL tools like Informatica, Data Stage and other BI Tools
Ability to effectively communicate with internal and external business partners
Highly team oriented
Understanding of data science trends and future state technologies

194

Senior Data Engineer Resume Examples & Samples

Supporting Java based applications
Strong analysis and troubleshooting skills and experience
Understand of RHEL command line
Understanding of Windows WMI
Understanding of SOLID design principles
Must have a desire to learn and utilize ElasticSearch and/or Splunk
Python is a plus
Java is a plus
TADDM is a plus
ITIL certification is a plus

195

Senior Data Engineer Resume Examples & Samples

Collaborate with Finance team and other stakeholders, with an understanding of the diverse needs of each stakeholder
Perform as an “analytics translator” to tell a story about the data to key stakeholders
Using Alteryx designer to access, integrate, and cleanse data from Big Data environments such as Hadoop (including Cloudera, Hortonworks & MapR) or NoSQL (MongoDB), SAP Hana, Microsoft Azure SQL Database, Microsoft Analytics Platform System, IBM Netezza, Amazon Redshift, Spark, Oracle or Teradata
Good knowledge of databases, Data Warehouse design and implementation
Create Tableau visualization that provide insights across a wide variety of marketing initiatives, while applying best practices in data visualization and data manipulation
Participate in working sessions, design sessions, and project/team meetings

196

Senior Data Engineer Resume Examples & Samples

5+ years of experience with Java, Python or similar
2+ years of experience in data warehousing design and concepts, including NoSQL databases
Experience with Apache Kafka, AWS Kinesis, or Google Pub/Sub
Experience with Document stores such as Google Cloud Datastore, MongoDb
Experience with BI tools like Tableau, Microstrategy etc
Familiarity with Continuous Integration and Continuous Delivery (CI/CD) best practices
Experience with implementing data quality and governance framework
Experience with building data platform on cloud (AWS or GCP)
Experience in data modeling and transformation of large scale data sources using SQL, Redshift, Hadoop, Spark, Hive, or other Big Data technologies
Experience working in a team environment using Agile methodologies?

197

Senior Data Engineer Resume Examples & Samples

Participate in database design and build initiatives as well as testing and project management as required
Review various database tools and data sets in use and rationalize and develop and implement strategies that simplify the existing architecture, for example, by retiring old technologies and data sets and streamlining others
Develop and maintain reports regarding the organization’s data assets in terms of utilization, growth trending and data inventory management
Develop and implement data normalization guidelines for onsite and offsite resources
Manage and leverage the skills of remote DBA staff who support the organization
Coordinate changes and/or project activities then communicate with impacted associates and/or clients through the formal change control process
Bring together various different stakeholders to support an organized, deliberate approach to data governance
Proven experience administering SQL environments within SSMS for Microsoft SQL server 2008 and 2012 is desired
Experience with analytical (e.g., spreadsheet, database, SAP, Qlik or Tableau), data extraction, and data normalization concepts and tools
Basic programming skills and basic database query development
Basic computer skills, including Microsoft Office suite
Ability to perform prolonged use of a computer, computer monitors or other monitoring devices
Ability to clearly communicate information through an appropriate method; reads and interprets complex information; talks with clients and listens well
Develops detailed procedures and ensures accuracy in documentation and data
The Healthcare industry is fast paced and innovative. The ability to adapt is essential as well as the desire to learn and apply new skills and concepts quickly
Demonstrated ability to work within a team environment
Demonstrated ability to work with diverse groups and difficult clients
Follows Cerner and CMHC policies, upholds professional standards, and performs all work in a manner respectful of others
Ability to rarely, but when necessary, work overtime and irregular hours
Will travel no more than 5% of time, for development opportunities
Must live in or be willing to relocate to the Southern or Central Maine area
Bachelor’s Degree in a related field or equivalent experience
4+ years of experience in analytical work, with emphasis in information systems

198

Senior Data Engineer Resume Examples & Samples

3+ years in with Advanced SQL (analytical functions), ETL, DataWarehousing
5+ years of relevant employment experience with a Bachelor's or 3+ years of relevant experience with a Masters
2+ years in using OLAP technologies and BI Analytics (Oracle BI Enterprise Edition is preferred)

199

Senior Data Engineer Resume Examples & Samples

Interfacing with business customers, gathering requirements and developing new datasets in data warehouse
Building and migrating the complex ETL pipelines from Oracle system to Redshift and Elastic Map Reduce to make the system grow elastically
Tuning application and query performance using Unix profiling tools and SQL
Extracting and combining data from various heterogeneous data sources
Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets
Working with customers to fulfill their data requirement using DW tables & maintain metadata for all DW Tables
This position requires a Bachelor's Degree in Computer Science or a related technical field, and 6+ years of relevant experience
Experience in designing and operating very large Data Warehouses
Extensive design and scripting experience in one of Perl, Python, Shell script
Experience in hiring and developing Data Engineers, Business Intelligence Engineers and Business Analysts
Experience with an enterprise class BI and Analytics tools such as Tableau, R/SAS, and OBIEE
Java development experience
Big data application development experience in Apache Hadoop, Spark or related expertise

200

Senior Data Engineer Resume Examples & Samples

5+ years of progressively complex related experience in data science engineering
Experience with Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment
Experience with bash shell scripts, UNIX utilities & UNIX Commands
Experience with writing complex ETL processes, designing database systems and developing tools for real-time and offline analytic processing

201

Senior Data Engineer Resume Examples & Samples

Strong experience with relational databases (preferably Oracle, Postgres, Greenplum)
Proficiency with at least one programming language (preferably Java, Python, Scala)
Experience in Unix/Linux environments
Good English skills (written and spoken)
Degree in information technology, mathematics, physics, engineering, economics or any related fields
Strong experience with ETL and/or orchestration tools (e.g. Talend, Informatica, Teradata, Oozie, Airflow)
Experience with version control (e.g. SVN, git) and continuous integration (e.g. Jenkins, TeamCity) tools

202

Senior Data Engineer Business Intelligence Resume Examples & Samples

Work with multiple business teams to fully understand business requirements and translate them into data structures
Build and maintain conceptual/logical/physical data models
Guide development team and business partners in applying data modeling techniques
Support system integration of diverse data sources and technologies used in the design, construction, testing, deployment and operations of DW & BI solutions
Create and maintain technical documentation, architecture designs and data flow diagrams
Interface with business professionals, application developers and technical staff working in an agile process and environment
Candidates should have prior experience working in a team in a client-facing project execution role
The successful candidate should also possess the following attributes
Advanced data modeling experience
Strong SQL programming skills, stored procedures and functions
Experience with performance tuning
Strong understanding of best practices for ensuring data quality
Experience in the financial industry

203

Senior Data Engineer Resume Examples & Samples

Strong scripting skills
Strong SQL skills on multiple platforms
Experience in petabyte scale data environments and integration of data from multiple diverse sources
Java experience a plus
Hadoop v2 experience a plus (HDFS, and related tools, such as Flume, Oozie, etc)
SQL on Hadoop (Impala/Presto) experience a plus
Kafka experience a plus
Web Development a plus (App servers, Middleware and page development)
NoSQL experience a plus (HBase, Cassandra)
Additional Useful Technical Skills: Spring and other ORM tools (Hibernate, etc.) , Maven, Functional Programming, AWS/S3
Finance experience, most notably in Equities and Options trading and reference data is a plus
Tool selection and POC analysis
Gather and process raw data at scale (including writing scripts, REST API calls, SQL Queries, etc.)
Performance diagnostics (SQL, Hardware, etc.)
Scripting jobs/queries/reports in Python
Build Maven Java apps, integrating with existing framework
Support our business users with ad-hoc queries and reports

204

Senior Data Engineer Resume Examples & Samples

Design and develop components of end to end Data Platform
Work with the team to make the Data Platform an efficient, robust and scalable platform
Active member of a highly skilled and motivated agile development team
Contribute to a team culture that values quality, robustness, and scalability while fostering initiatives and innovation
Experience with Hadoop / Spark Source Code
Experience with Flume
Experience with Docker, Mesos
Experience with at least one workflow scheduler (e.g. Oozie)
Experience with Kafka/Splunk/ELK/Hive Metastore

205

Senior Data Engineer Resume Examples & Samples

Automate tools and processes that instrument health checks on data volume, data quality and validity, alerts, and scores
Develop and document robust tools and utilities that migrate data to/from on-premises data marts and systems to AWS cloud using open-source, vendor, and AWS tools/services
Develop tools and architectures to programmatically download, organize, validate, and process third-party data
Research and rectify data quality issues
Support business and technology partners, and project stakeholders, contributing to both internal and external open source projects and standards
Help your teammates grow by fostering open, positive discussion and experimentation with developing projects, frameworks, tools, systems, and standards
Meet all requested development objectives and deadlines as assigned by the manager
4-7 years of professional experience in enterprise database administration, management, and query languages
4-7 years of professional experience with data marts and warehouses (Redshift, Teradata, and Oracle preferred)
2-3 years of experience with a server scripting language (Python, Scala)
2-3 years of experience with Control-M and/or Jenkins
1-2 years of experience with DAG runners (Luigi, Airflow) and CI/CD environments (Mesos, Kubernetes)
2-3 years with large data processing engines (Hadoop, Spark, Hive, Pig, Spark Streaming)
2-3 years of experience developing and deploying data pipelines using Cloud Services (e.g. AWS)
Experience working in a highly-collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing)
BS/MS Computer Science, Management Information Systems and/or equivalent experience

206

Senior Data Engineer Resume Examples & Samples

Design and implement new ETL pipelines based on client business logic
Optimize and scale existing ETL pipelines
Develop tools to support ETL platform
Perform ad-hoc queries to support client teams
Technologies we use
Python, Spark, AWS, Airflow, Bash, Docker, SQL, Scala, Hive, Databricks
2+ years experience working with big data technologies such as Hadoop, Hive, Pig, Spark, Presto, etc
Strong communication skills relating technical work to non-technical people
Bachelor’s degree or higher in a relevant technical field, or comparable work experience
Competence in Python and SQL
Working knowledge of Unix systems, such as Ubuntu, Fedora, CentOS, Redhat, etc
Understanding of data quality Best Practices

207

Senior Data Engineer Resume Examples & Samples

Own design and implementation of a part of the system/component working the tech lead
Known for high quality code – zero to minimal defects make their way into production
Communicates technical issues and solutions to both technical and non technical audiences
Operating knowledge in SDLC, software engineering standards, and multiple technical areas
Compares, contrasts and prioritizes among alternative approaches to meet objectives
Uses judgment to suggest approaches that optimize among customer needs, business constraints, and technological realities
Applies techniques to gain rapid customer feedback
Actively mentoring / helping junior engineers on the team
Works independently, with general instructions on software development assignments
May participate in the definition of project objectives
Involved in Code Reviews
Operational readiness documents
Identification of dependencies as inputs to project plans
Should have strong communication, presentation and interpersonal skills
Excellent programming knowledge in Java
Hands on experience in writing Web Services (good to know about designing micro services) throttling, worked on ~100k+ tps handling, scaling in real time, reliability of services etc
Hands on experience with Multithreading programming
Hands on experience with nosql databases (Key Value, Graph, Documents) i.e Cassandra/ HBASE / Dynamodb
Good Knowledge of Distributed Systems Design
Hands on coding experience with Security use cases i.e OAuth, authorization, authentication, token based security etc
Must have good knowledge of Data Structure and Algorithm - solid problem solving approach
Must aware of CI/CD and Automation
Hands-on experience with writing Unit, Functional and Integration/performance test cases
Good understanding of AWS or GPC (Google Public Cloud)
Good exposure on OLTP systems - scaling, sharding, caching etc
Good understanding of Streaming Processing engines i.e. Spark on nosql
Good to have - understanding on multi tenant systems
Good to have - Hadoop, EMR etc
Good to have - Messaging infrastructure - Kafka, ActiveMQ etc
Good to have - understanding of Journal, transactions log and their implementation

208

Senior Data Engineer Resume Examples & Samples

· Design, implement, and support a platform providing ad hoc access to large datasets
· Model data and metadata for ad hoc and pre-built reporting
· Interface with business customers, gathering requirements and delivering complete reporting solutions
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
· Participate in strategic & tactical planning discussions, including annual budget processes
Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience
Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams

209

Senior Data Engineer Resume Examples & Samples

Administer on premise and cloud based Hadoop clusters
Assist in selection and integration of big data tools/frameworks required to provide requested capabilities
Build, implement and support the data infrastructure; ingest and transform data (ETL/ELT process)
May supervisor team projects and serves as a liaison with the PMO
Two years of experience architecting, building and administering large-scale distributed applications using Hadoop and/or Linux systems
Experience with building a data lake or transitioning from data swamp to data lake
Comfortable presenting and whiteboarding Big Data Solutions to executive leaders and stakeholders
Exposure to cloud products such as AWS or Azure

210

Senior Data Engineer Resume Examples & Samples

Explores existing data for insights, recommends additional sources of data for improvements and applications of the data (UI, search, etc…)
Can identify risks, plan mitigation, and able to carry out plans
Experience with knowledge base systems

211

Senior Data Engineer Resume Examples & Samples

Bachelors Degree in an engineering or technical field
5+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
Experience in relational database concepts with a solid knowledge of SQL, including ability to write complex queries against one or more schemas
Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is required
Experience with Big Data technologies such as Hadoop/Hive
Experience in one of the modern reporting tools such as Tableau, QuickSight etc. is desirable
Ability to do financial and statistical data analysis and modelling
Knowledge of Machine learning is desirable
6-7 years experience Data Engineeirng / Business Intelligence
Good working knowledge of RDBMS and Datawarehouse environment
Familiarity with AWS technologies preferred
Familiarity with Machine Learning tools and technologies

212

Senior Data Engineer Resume Examples & Samples

Analyzing data sources for availability and quality
Assisting in high level data analysis
Identifying areas of opportunity to improve or enhance existing data processes
Work closely with Research Modelers, external and internal data suppliers throughout The Hartford in analyzing data sources, being subject matter data expert, defining business requirements, providing data, and assisting in high level data analysis
Coordinating with Enterprise Data Warehouse, internal/external data suppliers and service operations
Experience in creating and tuning SQL Queries
Experience with Indexes and basic Data Base Design is a plus
Self-starter with a willingness to become a data expert and to learn new skills
Results oriented with the ability to multi-task and adjust priorities when necessary

213

Senior Data Engineer Resume Examples & Samples

Star and Snowflake schema data analysis, modeling and architecture
ETL and ELT architecture and development using tools such as Talend and Pentaho. Pentaho is a strong preference
Strong SQL and query tuning skills on MPP databases
Deep technical knowledge of columnar database technologies. Redshift is a strong preference
Experience with using external data processing engines for Big Data - AWS EMR preferred
Experience with working in the AWS cloud environment – EC2, S3, Redshift, IAM, EMR, etc
Experience with Business Intelligence tools and database design suited to these tools. Microstrategy metadata development experience a plus
Shell scripting, Python and Java experience a plus

214

Big Data Engineer / Senior Data Engineer Resume Examples & Samples

Experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce
Proficient in two of the languages: Java, Python/Jython, Scala, Clojure, Ruby, C++
Experience with Test Driven Code Development, SCM tools such as GIT, SVN, Jenkins, Gerrit code review, Jenkins build and deployment automation
Experience with AWS Cloud automated deployments
Experience in Spark MLLib, Mahout, Elasticsearch, TSDB
Familiarity out data formats and serialization, XML, JSON, AVRO, Thrift, ProtoBuf
Experience with graph frameworks, such as Giraph, Hama, GraphLab, GraphX
Experience with R and/or MatLab
Read Tom White's "Hadoop: the Definitive Guide" and Jimmy Lin/Chris Dryer’s “Data-Intensive Text Processing with MapReduce”

215

Senior Data Engineer Resume Examples & Samples

Architect, build, and maintain highly-scalable ETL pipelines and data-driven systems
Work closely with machine learning engineers and data scientists to productionalize analytic solutions
Design and implement new data products to support data scientists and business analysts
Design and build infrastructure for our data lake

216

Senior Data Engineer, Advanced Analytics Resume Examples & Samples

Design and build analytical data sets used for predictive modeling
Build and automate datasets used for strategic analysis and reporting
Create and maintain scripts to automate data set creation
Support ad hoc analysis
Participate in data discovery process for new data sources
Partner with IT to transition select processes to enterprise automation
Work closely with team members to collaborate on data needs, feature engineering and data cleansing
Prepare documents for internal team communication – data dictionaries, process maps etc
Strong data preparation and management skills
Proficiency in SAS or SQL, scripting
Must possess an internal client service orientation

217

Senior Data Engineer Resume Examples & Samples

Support Technical Program Manager, Research Scientist, and a growing virtual team aimed at analyzing usage data to derive new insights and fuel customer success
Use business intelligence and visualization software (e.g., OBIEE, Amazon QuickSight, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Work with business owners to build data sets that answer their specific business questions
Manage numerous requests concurrently and strategically, prioritizing when necessary
Experience with scripting languages like Python, Ruby, or Unix shell scripts.(a must)
Knowledge of SQL and Unix/Linux
Experience with System Design
Understanding of advanced Data Warehousing concepts and track record of applying these concepts on the job

218

Senior Data Engineer Resume Examples & Samples

Identify data needs and develop the data acquisition strategy to onboard metrics that captures the efficiency of the key business functions in amazon consumable business (including traffic, sales, promotion, selection, instock, inventory, transportation), as well as the actionable levels that affect them. Develop tools/processes to monitor the quality of data at the ongoing base. Drive the projects to continuously enrich the Econ analytics data repository and improve the data quality
Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use
Collaborating with engineers to implement the design of the data architecture
Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
5+ years of professional experience in business analytics at scale
Experience solving complex quantitative business challenges; experience in the development of predictive analysis is a strong plus
Knowledge of economics modeling, machine learning and predictive analytics
Working knowledge of SAS or R or Python
Professional traits that are not unique to this position, but necessary for Amazon leaders: Exhibits business judgment; Has relentlessly high standards; Dives deep; Thinks strategically, but stays on top of tactical execution; Thinks big and has convictions; Results oriented

219

Senior Data Engineer Resume Examples & Samples

Designing and building an AI and data platform to help us deploy data- and machine learning-driven solutions across different businesses
Testing new technologies and architectures to us find the best ways to work with our unique data sets
Leading a nascent data engineering team to work with product managers, data scientists, and developers to enable modern data solutions
3+ years implementing big data solutions in industry on a cloud platform, preferably AWS
Proven ability to develop pipelines that can serve machine learning models that solve business problems
Strong understanding of modern data architectures and big data solution architectures
Proficient in SQL, *nix CLI tools (grep/sed/awk/BASH, etc), and Python
Familiarity with Java and an understanding of the JVM ecosystem
Familiarity with tools like Docker, Kafka, Cassandra, Spark, etc

220

Senior Data Engineer Resume Examples & Samples

Play a leading role in designing, developing and implementing a Graph database that contains multiple data sets from both internal and external sources
Lead the setup of data pipelines of new internal and external data sets into the database
Work with data scientists to help dedupe and fuzzy match data
Work with software engineers on developing APIs
5+ Years’ Experience in data engineering, including

221

Senior Data Engineer Resume Examples & Samples

Design, develop, and support database enhancements and data loading (includes some night and weekend support)
Design and develop new database technologies and integration solutions
Conduct project task estimation
Ensure successful and timely completion of assigned tasks
6 years: MS SQL Server experience

222

Senior Data Engineer Resume Examples & Samples

Support our Customer Operations team to resolve customer issue related to data
Support our Legal team by providing reports to assist in subpoena requests
Procure, test and recycle telephone numbers and maintain number inventory systems
Work with Data Architects and Product Managers to define and create reports that meet business requirements, quality, and performance
Responsible for the design, development, testing and implementation of BI reports, dashboards, scorecards and OLAP Cubes
Responsible for data integration with multiple databases
Collaborate with business users to develop, build, and implement reporting capabilities for LogMeIn Partners, Agents, and Consumers
Support ETL development activities when needed
Work with users to understand and document business requirements

223

Senior Data Engineer Resume Examples & Samples

Designing and implementing the big data platform/solutions used to ingest and process Amazon-scale traffic data
Collaborating with partner data engineers to ensure data consistency across teams and the broad adoption of best-practices
Experience building data warehousing and analytics projects using AWS technologies such as Redshift, S3, EC2, EMR and data pipelines
Experience with big data technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Degree in Computer Science, Engineering, Mathematics, or a related field and 5+ years experience

224

Senior Data Engineer, Digital Platform Resume Examples & Samples

You have years of experience building high performance distributed systems solving large scale engineering challenges
You have expertise in Java, Scala, or other JVM-based programming languages
You have experience working with Big Data components such as MapReduce, Spark, Hive, Pig
You have experience working with NoSql databases such as HBase or Cassandra
You have working knowledge of stream processing systems and dealing with unbounded data
You have experience developing on stream platforms such as Samza, Storm, Spark Streaming, or Kafka Streams
You understand messaging / queuing systems
You have superb understanding of OOP/OOD/Functional principles
You are a good communicator, and self-driven
Have a BS in Computer Science, Engineering, or equivalent

225

Senior Data Engineer Resume Examples & Samples

Data modelling skills
Oracle and Linux skills
OLAP technologies and BI Analytics experience
Troubleshooting and problem solving skills
Experience with Map Reduce a plus

226

Senior Data Engineer Resume Examples & Samples

5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales (1TB)
3+ years of significant experience developing within the broader AWS ecosystem of platforms and services
3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc)

227

Senior Data Engineer Resume Examples & Samples

MBA / Master’s / Ph.D degree in a relevant field
Understanding of Big Data technologies and solutions (EMR, Hive etc.)
Experience with Amazon Web Services (AWS) technologies
Coding proficiency in at least one modern programming/scripting language (Python, R)

228

Senior Data Engineer Resume Examples & Samples

Develop and help operate our data pipeline & infrastructure
Tackle some of the most challenging problems in high-performance, scalable analytics
Experience with scalability, large-scale data processing and ETL pipelines
5+ years experience with Java or Python
Experience with NoSQL technologies such as Redis, Cassandra, HBase, and/or Hive
Developing and deploying applications on Linux infrastructure
Experience with SQL and relational databases, such as Postgres

229

Senior Data Engineer, GRM Analytics Resume Examples & Samples

Lead the gathering and processing of raw data at scale (for instance writing scripts, web scraping, calling APIs, write SQL queries, etc.)
Guide the processing of unstructured data into a form suitable for analysis – and then do the analysis
Provide technical expertise in designing and implementing data models for common usage of the Data Analytics team. This includes providing proper documentation and generating data features required for modelling, reporting and adhoc analysis
Collaborate with GRM Analytics key stakeholders and partners to define data engineering, data visualization and technical training best-practices for Rapid Labs
Maintain a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. This requires working with enterprise data management office, Governance and Technology teams to ensure that the data captured through other initiatives is readily available for usage within Analytics teams
Work in an Agile environment for Rapid Labs execution within 90-120 days
University degree in relevant STEM discipline (Science, Technology, Engineering and Mathematics)
Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files)
Hands-on experience with Big Data ecosystem tools such as Hive, Pig, Sqoop and Spark; and experience with NoSQL databases (Hbase as an example) would be an asset
Programming skills in R or Python would be an asset
Experience with UNIX tools and shell scripting
Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL, Sybase)
Experience using and implementing visualization tools like D3, Tableau or Qlikview
Ability with collaboration tools such as Confluence is an asset

230

Senior Data Engineer Resume Examples & Samples

Translates complex functional and technical requirements into detailed architecture, design and high performance software. Determines needs and develops project plan or alternatives that will meet objectives.
Serves as a project leader for most complex, costly or sensitive projects that could significantly impact enterprise-wide systems
Builds and architects next-generation Big Data analytics framework
Ensures analytics infrastructure and associated systems meet business requirements and industry best practices. Implements procedures and protocols to monitor, analyze and verify data to ensure data integrity
Assesses and provides recommendations on business relevance, appropriate timing and deployment
Gathers and processes raw data from multiple disparate sources (including writing scripts, calling APIs, write SQL queries, etc.) into a form suitable for analysis
Enables big data, batch and real-time analytical processing solutions leveraging emerging technologies
Researches and proposes opportunities for data acquisition and new uses for existing data
Develops, manages, and supports the programs partnerships and relationships within and outside of the University. Organize and participate in various committees and teams to consult with program heads and administrative officials on policy and needs
Identifies process flows and quality assurance/control measures to monitor and control schedule, scope and budget as defined by the project
Performs other related duties as assigned such as providing database expertise to less experienced staff
Possess a thorough knowledge of position/industry requirements and able to perform position in compliance with all requirements/regulations/laws. Advanced ability in computer programming for statistical processes. Ability to establish and execute data security standards, procedures and disaster recovery plans. Knowledge of data analysis, end user requirements analysis, and business requirements analysis to develop a clear understanding of the business needs and to incorporate these needs into technical solutions. Deep knowledge in data mining, machine learning or natural language processing. Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases. Strong knowledge in programming or scripting languages (e.g., C/C++, Python, Ruby). Experience with agile or other rapid application development methods. Experience with object-oriented design, coding and testing patterns as well as experience in engineering software platforms and large-scale data infrastructures. Knowledge to perform complex data query and retrieval leveraging API’s, relational and non-relational data sources
Ability to maintain high standards with the work being performed and maintain awareness with trends and influences. Ability to lead complex database projects. Assume personal responsibility for all outcomes; makes effective and timely decisions; and learns how to effectively use technology. Maintain productivity and uses knowledge strategies to increase knowledge base. Able to make independent decisions that are a matter of significance for the unit. Demonstrated computer and analytic skills to determine methodology alternatives
Ability to effectively communicate both verbal and written thoughts, ideas, and facts. Write and present information in a clear and concise way. Interpret and understand written information and is able to listen attentively to verbal and non-verbal cues that lead to a deeper understanding. Skill in interacting and presenting to various audiences
Ability to work cooperatively with others and demonstrates professional, ethical, respectful, and courteous behavior when interacting with others. Demonstrate pleasant and positive interactions with others to meet customer expectations, and provide follow up with customers. Reaches compromise and consensus to influence and negotiate. Remains calm and is able to manage conflict, and works well with a diverse workforce

231

Senior Data Engineer Resume Examples & Samples

Activities include Operations Research development, ad hoc and project support, line of business product segment support, operational leadership, production deployment, maintenance, quality measures and documentation
Perform data asset adoption activities, with internal and external customers, including presentations to all levels of management, training, use case development, and consulting activities
Act as a liaison and SME between business and IT resources
Perform cost benefit analysis of concepts and solutions to drive prioritization
Ability to create and follow a strategic plan and report progress to management
Ability to articulate and train technical concepts to a non-technical audience

232

Senior Data Engineer Resume Examples & Samples

Drive deep understanding of vendor segmentation, behavior and satisfaction; as well as Amazon operational performance by identifying, developing, and executing analyses
Champion data and metrics instrumentation during the development lifecycle for new products and services
Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports
Support the business team with ad hoc data requests and analytical needs
Experience in designing and operating large Data Warehouses
Strong data modelling/architecture skills
Experience with enterprise class BI and Analytics tools such as Tableau, R/SAS, and OBIEE
Experience in developing Data Engineers, Business Intelligence Engineers and Business Analysts
Design and scripting experience in one of Python, Perl, Shell script
Master's degree in a quantitative or technical field

233

Senior Data Engineer Resume Examples & Samples

Work together with the Solution- and Data Architect to design the next generation big data platform to support the digital marketing platform
Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with Shell’s strategies
Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources
Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources
Help establish best practices around data governance, data security- and privacy (GDPR)
Work together with the solution- and data architect to the define the target data strategy
5+ years’ experience with big data platforms; working with large data sets, large amounts of data in motion and numerous big data technologies
Preferable experience with data science scenarios and machine learning frameworks (Caffe, Theano, Tensorflow, MXnet, CNTK)
Experience with data Architecture and design techniques (local/abstract)
Experience with Restful API developments
Experience with data blending technology (e.g. Alteryx) is preferred
Data pipelining-based technologies (e.g. KAFKA, StreamSets, Flume)
Hadoop/Spark-based technologies (e.g. Spark, MapReduce, Hive and Pig)
NoSQL-based technologies (e.g. Cassandra, HBASE, MongoDB)
SQL-based technologies (e.g. MSSQL, MySQL, PostgreSQL)
Auto software deployment technologies (e.g. Jenkins, Docker, Git)
Experience with Cloud (AWS, Microsoft Azure)
Source Code Control (e.g. Git, VSTS, Subversion)
Open Source Frameworks (Apache Spark, Hadoop etc.)
Agile Project Delivery techniques (e.g. SCRUM)
Strong design and coding skills (e.g. Python, Scala, JavaScript)
Comfortable to work with global stakeholders, internally and externally
Experience of working in a global business environment/different cultures
Ability to work under pressure with tight deadlines and balancing multiple priorities
Strong analytical and communications skills required
Have strong interpersonal, communication, facilitation and presentation skills. Is highly experienced in communicating with business at all levels

234

Senior Data Engineer Resume Examples & Samples

Design protocol for data integration
Build and maintain data warehousing system, including injection, large scale transform, OLAP design, dependency management, etc
Build and maintain data streaming system
Develop reliable and agile ETL systems
Actively co-ordinating with other departments or product group about requirements and expectations

235

Senior Data Engineer Resume Examples & Samples

5 or more years of progressively complex related experience
Has strong knowledge of large scale search applications and building high volume data pipelines
Experience building data transformation and processing solutions
Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment

236

Senior Data Engineer Resume Examples & Samples

Design and develop data ingest and transform processes
Develop data visualizations using BI tools and web-based technologies
Work as part of a global team using Agile software methodologies
Partner with risk, product, acquisition and servicing teams
Use data to drive change throughout the business
Lead a small team of data engineers
Proficient at Python, Spark and the Hadoop ecosystem
Experience with SQL and relational databases
5+ years of full-time professional experience
Bachelor?s degree or equivalent required
Self-starter, motivated, and good communication skills

237

Senior Data Engineer Resume Examples & Samples

5+ years of experience in technology related work, including roles such as customer-facing Consultant and/or Pre-sales Engineer
Experience in complex environments building and deploying MPP Databases, Hadoop ecosystem, in-memory data grids, Java EE, BI/DW, or equivalent enterprise scenarios
Architect level knowledge and experience building and deploying systems leveraging hadoop and database technologies
Excellent problem solving skills are a must
The ability to uncover business challenges and develop a solution to solve those challenges is key
Proven track record of successfully leading a team of developers and/or consultants
Ability to see and present "the big picture" and offer/architect solutions to make it better, specifically around business analytic systems
Strong customer facing and relationship building skills including strong listening and question based knowledge gathering skills
Able to work both independently and in a customer setting
The ability to present impromptu and via a white board
Strong SQL programming skills
Familiarity with standard statistical/BI packages to perform analytic calculations
Understanding of a variety of commonly-used analytic techniques and the models underlying them
Industry knowledge of big data technology, including Hadoop stack components, and other NOSQL and document type databases
RDBMS related product experience is strongly preferred (Teradata, Netezza, Vertica, Oracle, DB2, Postgres,, etc.)
Database administration of any RDBMS
System administration of Linux
Intermediate programming and computation skills, preferably with Perl, Python Java, BASH/Shell Scripting and/or C/C++
Direct experience working on a large scale data warehouse or Hadoop platform
Enthusiastic, self-starter with a charismatic personality

238

Senior Data Engineer Resume Examples & Samples

A strong foundation in database systems (SQL and/or non-relational)
A strong background in statistical foundations on experimental or observational data
Experience with tools and technologies we’re using: Kafka, Spark, Parquet, PrestoDB, Hive, Airflow, Re:dash (or similar)
Experience with product analytics
Experience with machine learning
Working knowledge of web development technologies: HTML, Javascript, CSS, HTTP

239

Senior Data Engineer Resume Examples & Samples

A strong background in Augmented Reality and Virtual Reality
Extensive expertise in structured and unstructured data investigation, mapping and integration
Experience with common web libraries such as JQuery, LESS, Functional Javascript , CSS and HTML
Familiarity with modern visualization frameworks, such as Gephi, Processing, R and/or d3js
Understanding of efficient and effective Human Computer Interaction
Sharp analytical abilities and proven design skills
A strong understanding of typography and how it can affect visualizations as well as layout, space and an inherent feel for motion
Excellent written and verbal communication skills, be able to explain the work in plain language to management with no data experience

240

Senior Data Engineer Resume Examples & Samples

5+ years of hands-on experience in business intelligence or IT management role in corporate or consulting setting
Strong development background with experience in at least two scripting, object oriented or functional programming languages: SQL, Python, Java, Scala, C#, R
Client stakeholder engagement and management
Experience leading a work stream and managing small teams on Agile projects
Data Warehousing experience, building operational ETL / ELT pipelines comprised of several sources, and architecting Data Models/Layers for Analytics
Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
Experience in multiple Database technologies: Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Oracle Exadata, Teradata, IBM Netezza), Distributed Processing (Spark, Hadoop, EMR), NoSQL (MongoDB, DynamoDB, Cassandra, Vertica, Neo4J, Titan)
Experience developing solutions in Cloud platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform
Experience generating Insights in the form of reports, KPIs, dashboards or ad-hoc queries; experience with Tableau is a bonus
Ability to thrive in a lively project and consulting setting, often working on different and multiple projects at the same time
Excellent interpersonal skills when interacting with clients, both verbally, email, written, and in a clear, timely, and professional manner
Problem solving and brainstorming solutions to data integration and Analytics challenges
Passion for developing your knowledge and skills in both the technical aspects of the Data Technology industry, and your personal and professional development in work and life

241

Senior Data Engineer Resume Examples & Samples

Supports various data and batch/realtime analytical solutions leveraging transformational technologies
Works on multiple initiatives as a technical team member or lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools
Translates business requirements into system requirements and participates in creating strategies that use machine learning and data platforms
Works with the D&E team members to design and implement data solutions in alignment with the project schedule
Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics
Works with developers to make sure that all data solutions are consistent
Creates data flow diagrams for all of business systems and Implements security and recovery tools and techniques as required
Builds automation tools and ensures all automated processes preserve data by managing the alignment of data availability and integration processes
Creates a data catalog and Interprets data results to business outcomes and participates in developing standards and processes for integration initiatives
Conducts logical and physical database design, designs key and indexing schemes and designs partitioning
Develops, tests, implements, and maintains database management applications, constructs and implements operational data stores and data marts
Adheres to data management standards, policies and procedures and interfaces with business community and provides ongoing status
Data engineering, data science experience or software engineering
Experience with agile or other rapid application development methods
Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures
Understands how algorithms work and have experience building algorithms
Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
Strong experience working hands-on with big data systems and experience with monitoring, backup, and disaster recovery of data systems
Strong knowledge in different programming or scripting languages

242

Senior Data Engineer Resume Examples & Samples

Experience with database management systems (DBMS), Oracle, MSSQL, MySQL
Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc
Experience with big data architecture platforms and technologies (Spark, Hadoop, Kafka, etc.) a plus
Experience with Solr., natural language processing, and RESTful APIs

243

Senior Data Engineer, Amazon Devices Resume Examples & Samples

Demonstrated strength in data modeling, ETL development, and data warehousing
Strong ability to interact, communicate, present and influence within multiple levels of the organization
Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions

244

Senior Data Engineer Resume Examples & Samples

Build and maintain datamarts using Kimball data warehousing methodology
Create data feeds using SSIS, SQL Server Replication, and additional non-SQL tools
Design architecture based on current and future technology landscapes
Monitor performance and advise any necessary infrastructure changes

245

Senior Data Engineer Resume Examples & Samples

You will optimize and automate ingestion processes for a variety of data sources such as: click stream, audience, transactional, and advertising
You will drive data investigations across organizations and deliver resolution of technical, procedural, and/or operational issues to completion
You will build/extend toolsets, create/maintain batch jobs, and create systems documentation
You will guide and mentor other data engineers and influence large scale projects
7+ years of hands-on experience designing and operating large data platforms
2+ years of experience with Java, Python or similar programming language
2+ years leading data warehousing and analytics projects, including using AWS technologies—Redshift, S3, EC2, and other big data technologies
Expert in SQL and experience with the Hadoop ecosystem common and emerging tools (e.g. Hive, Spark, Presto, Qubole)
BS in Computer Science, Mathematics, Statistics, or related field

246

Senior Data Engineer Resume Examples & Samples

Write exceptional Pl-SQL / SQL code which is portable and easy to maintain
Architect and design database schemas and normalizing the data structures
Develop and optimize SQL queries and data base objects
Program C# data access layer using ADO.NET and EntityFramework
Develop C# service layer data transformations and exposure through OData endpoints
Work with project team to identify potential solutions, technical requirements and development options
Debug and optimize the performance of a high traffic, multi-tier web applications
8+ years of solid IT experience
5+ years of professional experience data modeling and writing SQL queries or procedures
2+ years of solid programming experience C# or F#
Ability to setup, maintain and enhance Partitioning of Table Spaces
Firm understanding of the overall architecture required to support common schema based objects used to store data and implement business logic
Experience with at least one NoSQL Database
Team player with exceptional analytical, enterprise-minded and innovative problem-solving abilities
Experience working with Agile, Lean and Continuous Delivery practices
Eager to learn new concepts and apply acquired knowledge in practice
Aptitude for debugging problems in complex, unfamiliar code

247

Senior Data Engineer Resume Examples & Samples

To develop extensive knowledge of the tools and data sources standards used by the Journey Analytics Team and business requestors. Provides documentation, including technical standards and processes. Reviews and approves documentation and diagrams created by IT team members (e.g., system specifications)
Ensures the viability of IT deliverables with focus on efficiently and effectively completing all analytics requests. Recommends development options to the broader team and approves the team's deliverables. Conducts appropriate testing, including functionality, technical limitations, and security where applicable
Provides expert level technical direction for critical software, middleware, and/or hardware projects on multiple platforms. Provides technical expertise in systems, technical infrastructure, tools, modeling, external interfaces, and other technical areas. Completes complex development, design, implementation, architecture design specification, and maintenance activities
Maintains current knowledge of JA methodology, architecture design, and technical standards. To support the business community and team by providing subject matter expertise, guidance and training. Mentors IT staff and identifies training needs. As new standards are instituted, ensures their usage by team members
To further the objectives of the JA Team, the department and Vanguard as a whole. Identifies potential solutions, including the cost/benefit of each option. Elevates the most complex technical issues to IT experts, including architects and vendors. Resolves technical problems discovered by testers and internal clients. Responds to and resolves technical issues in a timely manner. Researches issues and performs root cause analysis
Thoroughly understands and complies with policies and procedures, especially those for quality and productivity standards that enable the team to meet established client service levels. Thoroughly understands and complies with Information Security policies and procedures, and verifies deliverables meet Information Security requirements
Advanced knowledge of the following: Python, Scala, SQL, AWS, Hue, Impala, Hadoop, Spark, Adobe Analytics
Extensive experience using a variety of data sources including demographic data, transaction tables, and web logs
Experience with: Oracle, IBM DB2, Microsoft Sequel Server, Hadoop and Federation technologies preferred

248

Senior Data Engineer / Senior Data Analyst Resume Examples & Samples

Use analytical skills to review, interpret and take action on a variety of daily reports related to the processing of client rewards
Functional programming familiarity (R, Python)
Data visualization best practices
Familiarity with / exposure to basic functional languages, (i.e. R, Rshiny, and Python) greatly preferred
Direct experience working with BI tools and or some visualization prototyping a plus
Ability to communicate data-driven recommendations in a concise manner to a widely varied audience at various organizational levels
Ability to hypothesize relevant business questions and manage analytical project end to end
Intermediate-level SQL skills in an enterprise-level environment required; experience with Oracle a plus

249

Senior Data Engineer Resume Examples & Samples

Drive and participate in the definition, the direction, and the development of the Fandango warehousing data platform
Work with internal stakeholders to help dictate and scope the requirements
Design and implement highly scalable, reliable, extensive and maintainable code frameworks
Establish and implement best engineering practices such as architectural design, unit and regression testing, test-driven development, pair programming, and continuous integration frameworks
5+ years as a professional engineer with experience in production scale platforms
Strong industry experience with several development languages (Python, Java, Scala, NodeJs)
Strong experience in data mining and the development of ETL processes
Excellent knowledge and expertise with SQL and Relational & Multi-dimensional Databases
Discerning appreciation of best practices in designing data lakes
Strong experience with distributed data architectures and their eco-systems (Spark, EMR, Hadoop, Hive)
Strong experience in delivering data using Streaming Technologies (Kafka, Flume, Spark Streaming)
Proven ability to deliver high quality, production ready code
Experience with continuous integration technologies
Expert understanding of the agile software development life cycle
Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment
Bachelor’s degree in computer science
Passionate about big data concepts related to data lakes, data mining, data streaming, data warehousing
Motivated to stay proficient and conversant on the latest innovations in data technology to improve platform features and functionality

250

Senior Data Engineer Manager Resume Examples & Samples

Lead the design of modern architecture, frameworks, and enterprise data patterns (including security patterns). Lead the team to build robust systems for the long term maintenance and support of the application
Develop and manage data set processes for data modeling, mining and production
Drive cross team design and development via technical leadership and mentoring
Research opportunities for data acquisition and new uses for existing data and make recommendations as needed
Partner with Enterprise Information Management Data Architect team
Oversee the Enterprise Metadata Architecture and Standards
Lead strategy and architecture for Enterprise Analytics Data Management
Recommend ways to improve data reliability, efficiency and quality
Jointly responsible with broader application development teams to drive implementation of data management roadmap
Collaborate in the development and adherence to compliance of architecture principles and standards for the various systems and components based on design patterns
Provide recommendations during the Architecture Review process
Perform all other job related duties as requested
Bachelor's degree Computer Science, Information Management or equivalent education and experience
At least 6 years progressively responsible job-related experience, with 4 years related to data management and 3 years in data modeling
Familiarity with Teradata, Oracle, MS SQL Server, DataStage, or Informatica
Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data management solution
Expertise in information and integration architecture and technologies
Strong leadership, communication and influencing skills
Must be able to work with diverse project teams with members representing many segments and levels of the organization

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