Data Engineering Resume Samples

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A Pagac

Arnold

Pagac

452 Stark Plaza

Houston

+1 (555) 853 6532

452 Stark Plaza

Houston

Phone

p +1 (555) 853 6532

Experience Experience

San Francisco, CA

Data Engineering

San Francisco, CA

Gutkowski-Murphy

San Francisco, CA

Data Engineering

Create/drive data management application/interface design
Manage the development of data transformation and data automation routines
Work collaboratively with Data Science team members to develop algorithms to automate data consumption processes
Develop complex data integration processes
Performance tuning of complex SQL
Should have worked extensively on Oracle
Create/maintain related metadata and training documentation

Houston, TX

Data Engineering Specialist

Houston, TX

Gaylord LLC

Houston, TX

Data Engineering Specialist

Perform development and operations duties, sometimes requiring support during off-work hours
Prior role developing/managing/working with ETL/reporting tools, scripts, and techniques
Assists in development of engineering solutions using ETL tools that move data from disparate source/target systems and the enterprise information repositories
Performs initial functional testing. Assists in incident trouble shooting
Perform unit testing and system integration testing in development environment
Hands on development of PL SQL and Informatica scripts/jobs
Data warehouse development of schemas and joins to support and enhance current data model/sources

present

Houston, TX

Director, Data Engineering

Houston, TX

Casper-Denesik

present

Houston, TX

Director, Data Engineering

present

Develop and code the data management services that is core to Audience Studio, under the leadership of the VP Architecture
Ensure that the necessary instrumentation and robust data logging is in place to measure the performance of product features
Collaborate with NBCU’s technology domains to lead and ensure development and delivery of analytics solutions
Support the project and product management efforts for executing analytics projects
Manage data for accuracy, currency, and usage
Test and deploy new technologies to work on big data in the cloud
Make sure that the data coming into the system is clean and accurate, and stays that way over the entire life-cycle of the data

Education Education

Bachelor’s Degree in Computer Science

Northeastern University

Bachelor’s Degree in Computer Science

Skills Skills

Knowledge of database storage, collection and aggregation models, techniques and technologies and the ability to apply such methods to solve business problems
Knowledge of Microsoft SharePoint, PowerPivot, SRSS, Excel (with embedded Pivot Tables and macros)
Strong project management and people management skills
Knowledge of structured problem-solving assignments
Conduct data discovery, profiling, source to target mapping, and reconciliation
Assist in design and execution of data stewardship processes
Design data integration processes to normalize and structure information from raw data sources into the centralized data structures
Lead development of centralized data structures and processes to be leveraged in the global analytic model with the goal of driving increased operational efficiency and business process improvement opportunities
Create/drive data management application/interface design
Create/maintain related metadata and training documentation

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15 Data Engineering resume templates

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Abc-data Engineering Intern Resume Examples & Samples

Develop and refine technical skills by helping with building basic reports and dashboards
Background in mathematics, statistics, or computer science
SQL (ANSI or other)
Linux or UNIX environment use

Platform Data & Engineering Development Manager Resume Examples & Samples

Leads, caches, mentors and inspires team of software, quality and operations engineers to deliver highly available, globally distributed data warehouse solutions
Effectively manage delivery of the next generation of data warehouse technology providing best-in-class scaling, availability, and operational support enabling a WOW experience for our customers
Build and develop a high energy, committed, motivated team with the capabilities to deliver awesome business results
Collaborate across business units and product teams to develop and execute against the data platform vision, strategy, and roadmap
10+ years’ experience required managing or leading the delivery of enterprise data warehouse solutions
5+ years in managing a highly technical engineering
Extensive experience with Oracle, data integration in general, strong data modeling and data analysis
Extensive experience with data warehousing systems for large enterprises, preferably with near real time transactional data, using demonstrably standard data warehousing design techniques
Extensive experience in ETL, business intelligence and data governance
Extensive recent experience with data technologies, relational and non-relation data store solutions including Oracle, MySql, Cassandra, MongoDB
Recent experience with Hadoop and data virtualization technologies
Excellent leadership presence - In facilitative leadership of the team, leading meetings, presenting, and influencing across organizations
Extensive experience with agile development methodologies and processes required
Must possess outstanding verbal and written communication skills, and be able to work with others at all levels; effective at working with geographically remote and culturally diverse teams

Data Engineering Resume Examples & Samples

Lead development of centralized data structures and processes to be leveraged in the global analytic model with the goal of driving increased operational efficiency and business process improvement opportunities
Implement various scripts, applications, functions, procedures, and other mechanisms in programming and querying languages to achieve data management outcomes that enable and support further analytic processes
Implement data integration processes to normalize and structure information from structured and unstructured data sources into the centralized data management solution
Implement advanced data management solutions that satisfy analytics requirements. This includes temporal relational databases, change data capture, systemic data quality, complex event processing, and machine learning
Design and implement web applications and interfaces in support of data stewardship and governance processes
BA/BS degree plus 2 to 8 years data management / reporting / business intelligence implementation experience, or other relevant software development discipline
Must have intellectual curiosity and a willingness to explore new paradigms for data management interactions
Highly resourceful, with strong analytical & problem solving skills
Must be able to organize and prioritize independently and meet tight deadlines
Data mining and data transformation skills are required, including managing data to quality specifications
Experience interfacing with several types of relational databases is required
Experience with one or more programming and scripting languages is required; .NET Framework, C#, T-SQL, Java, & Powershell are particularly relevant
Understanding of transactional data warehousing, normalization and de-normalization strategies and tactics are highly desired
Experience in enterprise-scale data management and/or reporting application development is highly desired
Understanding of both OLTP and OLAP architecture is preferred
Working knowledge of ETL and reporting (including OLAP) tools is a plus; Talend Open Studio, SSIS, and Cognos TM1 are preferred
Experience implementing and/or operating within SLDC is a plus
Experience with Team Foundation Server is a plus
Working knowledge of the Microsoft Office suite is a prerequisite

Data Engineering Resume Examples & Samples

Lead analysis of centralized data structures and processes to be leveraged in the global analytic model with the goal of driving increased operational efficiency and business process improvement opportunities
Conduct data discovery, profiling, source to target mapping, and reconciliation
Design data integration processes to normalize and structure information from raw data sources into the centralized data structures
Assist in the development of data management solutions that satisfy downstream analytics requirements. This includes relational data models, business and technical data quality rules, and process controls
Assist in design and execution of data stewardship processes
Create/drive data management application/interface design
Create/maintain related metadata and training documentation
Computer Science degree (Masters preferred)
2-4 years relevant experience

Data Engineering Resume Examples & Samples

Drive the design and architecture of data environment
Drive the development of globally common data and analytic processes
Develop complex data integration processes
Manage data profiling and data modeling
Work collaboratively with Data Science team members to develop algorithms to automate data consumption processes
5-10 years relevant experience
Strong analytical & problem solving skills with the proven ability to recommend and implement effective solutions

Director, Consumer Data Engineering Resume Examples & Samples

Technical thought leader for Consumer Data at ESPN
In partnership with the broader data platforms team, construct the data frameworks (ingestion, processing, distribution, access) for core consumer data platforms
Design and build robust and scalable data engineering solutions for structured and un-structured data conducive for personalizing ESPN’s digital products, driving business insights and analytics
Experience with creating and using data models and establishing engineering workflows to facilitate the ingestion and normalization of disparate data sets
Contribute to the definition and lead the implementation of ESPN’s consumer data taxonomy and ontology
Provide Technical leadership and oversight in the creation of an eco-system of tools, applications and processes to support the democratization on ESPN’s consumer data across business units
Provides transparency and recommendations on project trade-offs and provides dependency coordination
Stays on top of market and technology trends to determine new or enhanced technical capabilities that positively impact our overall fan experience
Lead the evaluation and selection of vendors as needed to accomplish our goals and obtain our vision
Must have strong communication skills
A minimum of years of work experience in a data oriented role in a consumer oriented media or software development company
Experience in a data focused team building data processing frameworks, systems or tools
Depth of experience with big data technologies and distributed computing platforms, real-time processing engines and tools like Hadoop, map reduce, AWS Kinesis, Hbase, kafka, etc
Proficiency in technical architecture of complex data frameworks

Director Consumer Data Engineering Resume Examples & Samples

Work with the consumer data, data science team to develop and implement engines and algorithms to personalize ESPN’s digital products
Performs with a wide degree of latitude on creative solutions
Passionate sports fan with a degree in Computer Science, or related technical field or equivalent work experience
Extensive experience troubleshooting data quality issues, analyzing data requirements and utilizing big data systems
Experience with agile methodology, continuous integration and continuous delivery
Experience taking direction and input from multiple sources and creating a shared vision
Experience in selecting and managing third party vendors

Technology Director Head of Data Engineering Resume Examples & Samples

A deep understanding of the enterprise data architecture at a conceptual and operational level
Demonstrate leadership qualities in establishing a data strategy and influencing it at various levels within the firm
Passion and drive to deliver high-quality and highly scalable systems
An excellent track record of delivery
Leadership skills to manage a globally distributed development team and global set of users

Data Engineering Lead Resume Examples & Samples

Lead a high quality BI and Data Warehousing team and design the team to scale
Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions
Build data expertise and own data quality for allocated areas of ownership
Conduct design and code reviews. Coach and lead team members on coding and problem-solving skills
Define and manage SLA for all data sets in allocated areas of ownership

Tt-market Data Engineering Resume Examples & Samples

Work with clients and internal stakeholders (Market Data Operations, Integration and business analysts) to deliver business requirements
Build strong engagement with clients to understand current and future requirements and provide consultancy on use of market data and associated technologies
Understand current industry trends and opportunities and proactively drive technical direction and strategy
Proactively partner with architecture and technology teams to ensure market data requirements are incorporated and those solutions are strategically aligned
Provide subject matter expertise and 3rd line support on market data products and services

Data Engineering Internship, Datg-spring Resume Examples & Samples

Learn about, understand, and document a number of different incoming data sources
Create a data dictionary for external and internal data sources to help the entire technical team
Participate in data discovery, profiling, and analysis tasks with the data engineering and development team
Experience with data analysis, algorithms, and/or discovery
Familiarity with extract, transform, and load (ETL) methodologies

Data Engineering Associate Resume Examples & Samples

Generate and Enhance Data Quality Control reports for external BRS clients
Enhance quality control measures on raw data, and derived data. This would require continuous enhancements to QC processes to implement best practices
Help Data and Pricing teams implement short-term solutions with scripting and other creative techniques
Develop an increasing understanding of technologies and architectures, including design and implementation, software design and deployment best practices
Beyond coding, a successful candidate will strive to learn the business context of their projects and the needs of their users and quickly play a leading role in solving problems
2-4 years of experience programming in Java, web server side scripting (Ruby, Python, or Perl) and web client side scripting (Angular JS, Javascript, Jquery)
Knowledge of Spring, JDBC, SQL or MySQL
Strong knowledge of development best practices, design patterns, and systems design
Demonstrates creativity in solving unconventional problems
Enjoys a fast-paced, high-intensity environment
Technical skills (SQL, PERL & UNIX) are mandatory

VP of Analytic Solutions & Data Engineering Resume Examples & Samples

Create data infrastructure through proactive engagement of key stakeholders to understand business requirements; work with cross-functional data and technology teams; and build efficient and scalable data solutions
Drive the strategy to improve automated prospect acquisition, data enrichment, consumer programs and measurement
Connect disparate analytic and technology teams to implement “best-in-class” data tools that support company-wide initiatives and growth
Streamline business analytics across various platforms by standardizing key metrics and developing dashboards to measure business improvements
Build data expertise and own data quality to effectively manage data warehouse plans for various cross-functional teams
Define and manage SLA for all data sets
Advanced degree in a technical field (Math, Computer Science, Engineering); or Bachelor's degree with relevant work experience
Must have experience developing big data strategies (including selection/implementation of technologies) within a traditional Microsoft/SQL Server database environment
Extensive hands-on experience within data warehousing/business intelligence (BI)
Experience within a heavy transactional, large data set environment
Certified ScrumMaster preferred
Technologies/skills of interest: SQL Server, Microsoft BI Stack (SSAS, SSRS, SSIS), Hadoop, Tableau, Real-Time Stream Analytics, Machine Learning, Artificial Intelligence, Natural Language Processing (NLP) Multidimensional Modeling/Master Data Modeling (MDM), SAS, Amazon Web Services (AWS)

VP, Analytic Solutions & Data Engineering Resume Examples & Samples

Partner with VP, Data Analytics to execute data strategy and build multi-year roadmap focusing on improving analytic capabilities
Design, build, optimize, launch and support new and existing data models and processes
Optimize data processes through continued evaluation and assessment of tools that support WWE’s fast-paced environment
Influence a broader data culture, with the integration of data across all company initiatives for comprehensive business analytics
Manage data engineering solutions with thousands of data flows, reports, and data visualizations
Oversee and conduct design and code reviews
Previous selection and implementation of data visualization tools and best practices
Experience with building a team in addition to leveraging off-shore resources

Director, Data Engineering Resume Examples & Samples

Scaling our existing data pipeline to handle 10x the data to match our current growth trajectory
Ensure that the necessary instrumentation and robust data logging is in place to measure the performance of product features
Make sure that the data coming into the system is clean and accurate, and stays that way over the entire life-cycle of the data
Test and deploy new technologies to work on big data in the cloud
5+ years of experience in a data-driven information environment designing and implementing solutions
Strong understanding of data architecture, data modeling, clickstream/event logging systems
Experience working with large data sets, cloud technologies - Hadoop, Pig, Hive, MapReduce
Solid understanding of distributed system concepts used in scaling big data technologies
Experience in building an end-to-end ETL pipeline
Bachelor's Degree in Computer Science, Mathematics or equivalent. Master's Degree preferred

Data Engineering, Intern Resume Examples & Samples

Experience and interest in building large-scale data solutions
Proven ability to work with varied forms of data infrastructure, including relational databases (e.g. SQL), Mapreduce/Hadoop (e.g. Hive, Spark), and column stores (e.g. Vertica)
Expertise with at least one programming language (preferably Python or Java)

Data Engineering & Analytics Manager Resume Examples & Samples

Overall management and mentorship of a talented development team of both senior and junior level engineers
Participate in technical communication within the team and to other groups associated with specified projects to define system requirements and/or necessary modifications
Collaborate closely with the Product Management Team to determine appropriate feature set for each product release
Managing a feature through the entire development and release cycle, and owning the outcome
Comfort in proactively and independently driving for results in small team environments
Overall 8+ years of software development experience with exposure to leading the team, with preferred Major background in computer science, math, or equivalent technical disciplines
Prior experience in open source technologies, such as Kafka, Spark, Zookeeper, Redshift, Druid etc., is a strong plus
Solid leadership skills and a passion for building large scale consumer experiences; strong communication, cross-group collaboration, and interpersonal skills
Experience with agile development practices emphasizing on continuous improvement
Team management of developers building scalable applications experience is preferred
Experience in building systems in Amazon Web Services is a strong plus
Demonstrated ability to manage multiple projects; proven ability to manage, mentor and motivate teams

Senior Lead Data Engineering Manager Resume Examples & Samples

Responsible for data engineering standards and design of physical data storage, maintenance, access and security administration
Examine and evolve data engineering standards - Build, HA/DR, Backup/Restore Practices; Responsible for designing availability features
Design and maintain a Database Strategy/Road Map - Integrate with caching and virtualization techniques/methods
Interface and evaluate data movement and data virtualization methodologies
Collaborate with firm wise architecture and strategy to meet application availability, scalability and performance requirements
Participate in new data product or new technology evaluation; Manage the certification process
Advance the Cloud Architecture for data stores; Work with TIAA Cloud engineering teams with automation; Help operationalize Cloud usage for Database and Hadoop platforms
Evaluate and implement new initiatives on technology and process improvements
Interact with Security Engineering to design solutions, tools, testing and validation controls
Engage vendors to determine new tools feasibility, concepts and features, understanding the pros and cons and preparing the team for rolling
Analyze vendor suggestions/recommendations for applicability to TIAA; Design implementation details
Interact and communicate with various stake holders across business lines
Perform short and long term system/database planning and analysis including capacity planning
Integrate/collaborate with application development and support teams on various technology projects
Mentor database team and developers on new database technologies and provide database design and architecture oversight
Provide application architecture and solution design from an infrastructure perspective
Bachelor’s degree; Preferably in Computer Science or Information Systems
Fifteen or more years of experience in databases, data caching, data federation and data virtualization management expertise
Eight or more years of expertise and in-depth knowledge of SAN, system administration, VmWare, backups, restores, data partitioning, database clustering and performance management
Good understating of Linux, Windows and AIX operating systems
Familiarity with concepts and implementation details of Hadoop Clusters, Impala, and HBase and other emerging data techniques
Experience in messaging infrastructure, configuration, escalation and deployment methods
Experience monitoring technologies for database and middleware (WebLogic or WebSphere) - Oracle Grid Control based monitoring, configuration, escalation and deployment methods
Experience in data replication (Active Data Guard, Oracle Streams and/or Golden Gate)
Experience in writing shell scripts, and automating tasks
Support experience with critical VLDB and data movement
Experience with orchestration techniques, infrastructure automation, cloud deployments
Experience in financial service industry, wall street technology and securities industry
Familiarity with and usage of automation tools such as Puppet and CFEngine
Familiarity with “IaaS” and “DBaaS” Service oriented concepts
Familiarity with data security methods and industry standards
Familiarity of Cloud Architecture (Public and Private clouds) – AWS , AZURE
Working knowledge of VMware and VMware vCloud Automation Center (vCAC)
Familiarity with data masking technology ; data encryption, data archiving methodologies
Proficiency in using Microsoft Office 2010 (Word, Excel, PowerPoint) – skills to document, present, communicate and articulate idea/s and concepts
Familiarity with concepts and implementation of NO-SQL data stores (Cassandra, Dynamo DB, Mongo DB or any other similar)
Data Movement Tools such as data stage, Informatica, Sqoop, flume, kafka etc

Senior Lead Data Engineering Manager Resume Examples & Samples

Examine and evolve data engineering standards – Build, HA/DR, Backup/Restore Practices; Responsible for designing availability features
Design and maintain a Database Strategy/Road Map – Integrate with caching and virtualization techniques/methods
Experience monitoring technologies for database and middleware (WebLogic or WebSphere) – Oracle Grid Control based monitoring, configuration, escalation and deployment methods
Familiarity with ‘IaaS’ and ‘DBaaS’ Service oriented concepts

Data Engineering Lead Resume Examples & Samples

5+ yrs development experience (Java, Python preferred)
3+ years hands-on experience in SQL
3+ years hands-on experience in the data warehouse space, custom ETL
Design, implementation and maintenance
Prior experience leading a team Strong data architecture, data modeling, schema design and effective project management skills
Experience with large data sets, Hadoop, and data visualization tools
Strong leadership skills, with the ability to initiate and drive projects, and communicate data warehouse plans to internal clients/stakeholders
Experience scaling and managing medium to large teams

Executive Director, Data Engineering Resume Examples & Samples

Lead a team of technologists responsible for implementing The Times’s cross-departmental data solutions
Manage an environment of diverse legacy and state-of-the-art data technologies
Develop a detailed plan and set up project teams to deploy new data capabilities, including dashboard tools, experimentation platforms, segmentation and targeting platforms, and other potential innovations
Develop a detailed plan to sunset legacy technologies
Provide executive sponsors and business partners clear briefings and reports that bridge technology and business needs
Provide detailed technical evaluations of plans and code developed by the team
Coordinate development efforts with other Engineering groups to keep strategies aligned
Sourcing and leadership of multiple agile development teams – composed of both internal & external resources – responsible for data engineering
4-6 years experience managing a technical team with diverse skills and tasks, including experience with managing managers
Experience designing and maintaining an enterprise-wide data platform
Experience with modern data processing pipelines, including real-time data streaming, MapReduce, and SQL based analytics platforms, reporting and dashboarding, etc
Experience communicating technical concepts to non-technical executives
Experience designing flexible technical solutions based on understanding of business strategies and goals
Strong advocate for technical architectures and plans, and an ability to negotiate priorities
Established track record in extraordinary engineering leadership
Excellent written and verbal communication skills and comfort level in public presentation settings
Comfort with and competence in effectively communicating with ‘C’ level executives
10+ years of growing responsibility in engineering roles
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Director, Data Engineering Resume Examples & Samples

Serve as a senior data engineer for audience studio data products
Participate in, and execute, a 12-36 month product roadmap with input from the delivery team, stakeholders, and SRAT leadership
Develop and code the data management services that is core to Audience Studio, under the leadership of the VP Architecture
Bachelor¹s degree in Computer Science or related field
Strong OO design, data structure, and algorithm design skills

Principal, Data Engineering Resume Examples & Samples

5-10+ years of software development experience, as a developer or manager
1-2 years of experience as a development manager (with direct authority over development staff)
2-5+ years of experience with digital advertising technologies
Fluency in at least 1 of the following programming languages (C, C++, Ruby, R, SAS, MapR, Python)
Experience in web application development and associated skills (REST, HTTP, web services)
Excellent teamwork and collaboration skills

Director, Data Engineering Resume Examples & Samples

Undergraduate degree in the field of computer science or engineering, or focus on statistical analysis or equivalent experience required
At least ten (10) years of progressive experience in Business Intelligence and/or Analytics leadership
At least three (3) years of experience in a business-facing analytical role and proven track record of related success
Understanding of summary statistics, machine learning, natural language processing, mathematically focused programming languages such as R and Python, and advanced analytics solutions such as SAS, SPSS, and RapidMiner
Experience in data mining (structured and unstructured) in an enterprise environment using large, complex, and distributed data sets
Ability to quickly understand which data is used by which business processes and what the data means in the context of these specific processes, especially customer intelligence, brand and content engagement, and ad inventory and effectiveness
Strong working knowledge of media including broadcast TV, digital, and mobile
Strong project management and presentation skills
Ability to work effectively with cross-functional business and technical teams
Experience with a large-scale distributed Hadoop environment preferred
Experience mining large datasets (eg. Web logs)
Experience in delivering self-service analytics solutions that promote data discovery
Familiarity with Agile/Scrum methodologies desired
The ability to quickly build rapport and gain the respect and cooperation of both technology and business leaders
Action-oriented and driven to achieve results in a positive manner, displaying ethical behavior, integrity, and building trust at all times
Strong teamwork and interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional matrix environment
Ability to articulate ideas to both technical and non-technical addressees
Able to work independently, plan workloads and deliver on commitments
Superior analytical, evaluative, and problem-solving abilities
Proven project management, time management, and conflict resolution/management skills
Ability to set priorities and objectives, then plan and organize the team in order to meet them

Data Services Data Engineering Resume Examples & Samples

Create Quality Control Reports and exception workflows for security master data, Pricing Data and Economy Data
The team is responsible for both development as well as Production support for applications onboarding security, pricing, index and other market data
Provide tactical development services to our partner teams within data operations and Aladdin product development to accelerate new product deployment or assist with critical requests
Build and enhance tools and processes to collect, aggregate and transform client position, pricing and security data into Aladdin to enable our risk management oversight products
Improve the scale of data operations by centralizing, while enabling client access through subscriptions
Research modern technologies such as Cassandra and Apache Spark for data storage and speedy data extraction of large data sets
Create front-end tools for clients to provide data modeling assumptions and periodic certification
Create an even-driven data pipeline that reduces system and manual hops between the raw data and the end-product
Design, build and maintain pricing/security setup loaders
Interface with Data Operational teams and prioritize impactful functional enhancements
Must be able to design and drive large projects from inception to production implementation and beyond
Must be a great communicator, team player, and a technical powerhouse
Implement data quality routines and mechanisms to flag bad data for correction
Support development and production deployments
Experience with disaster recovery and business continuity practice
Provide technical support and management of the production environment
(Level 2 support for Production Systems)
Strong knowledge and experience in supporting Linux environments
Proficient in shell and Perl, python scripting, Java programing
Strong software development or scripting skills – Java and C++ development a plus
Good understanding of ETL processes
Experience supporting systems with 24X7 availability requirement
Technical documentation skill on supported application and Operational tools
Ability to proactively identify, troubleshoot and resolve live systems issues
Experience maintaining, troubleshooting and setup large data sets
Good Database programming skills – Sybase preferable
Experience of supporting data warehousing technologies – Sybase IQ preferable

Data Engineering & Analytics Leader Resume Examples & Samples

Develop 30/60/90 day execution plans for quick execution with actionable results, holding business IT and functional teams accountable for delivering the solution
Execute as part of an Agile Scrum team framework, with opportunities to act as Scrum Master for specific projects or sprints
Aggregate and engineer data for analytics consumption
Proficiency in SQL, as well as one or more scripting languages (e.g., Java, Python, Scala, Shell scripting)
Experience with ETL/ELT tools and design
Hands-on experience in a development or scripting language such as JAVA, Python, shell scripting,
Exposure to big data platforms, ETL, and visualization tools
Experience with data architecture principles and practices

Developer Data Engineering Resume Examples & Samples

Working knowledge of technologies such as Spark / Greenplum / Python, HDFS, Casandra etc
Partner with Architecture team and optimize//Troubleshoot data loading/,modeling processes
Prepare required documents to migrate code in production
Minimum 2 years of overall IT experience in Business Intelligence, data warehousing or data ingestation
Minimum 1 yrs. experience in developing solutions using databases like Greenplum, or Postgress or, Teradata or Oracle or HDFS
Drive to learn new technologies and build in-depth expertise
Analytic, creative and business-focused problem solver
Lean experience

Assistant VP of Data Engineering Resume Examples & Samples

Modern Data Architecture: Setting the strategic rollout, selection and delivery of proven as well as emerging tooling to ensure that data pipelines are scalable, repeatable and secure serving multiple users within the organization. The incumbent is responsible for all providing leadership and direction for highly complex, multi-faceted big data initiatives associated the following functions areas
Demonstrated 10-15 years professional experience in big data including a university degree in Engineering, Computer Science or equivalent program
Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Particular focus on Cloud (Azure) and Hadoop-based technologies and programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python, R and SAS. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as Hawq/HDB, MongoDB, Cassandra or Hbase
Experience and capability in translating non-technical user requests into complex technical specifications and solutions that meet these requirements
Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language. A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges
Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player
Must be willing to travel up to 25% of the time

Director Data Engineering Resume Examples & Samples

BS or MS in Engineering, Computer Science or Information Systems
10+ years of data engineering and development experience; 5+ years with ecommerce
Minimum of 5+ years of in increased leadership experience, preferably in data and/or software engineering
Extensive experience in one or more database technologies: MS SQL, Oracle DBs, MySQL, Big Data, MongoDB, Cloud technologies, SQL, PL/SQL, UNIX shell
3+ years of experience in business intelligence, analysis and reporting systems
Strong sense of self-motivation, organization and attention to detail
Proficient knowledge in designs practices including OLTP, reporting, and OLAP; big data processing and analytic technologies including Hadoop, R, and stream processing; standard and ad hoc reporting solutions; ETL and MDM data management tools
Experience with agile and waterfall development methodologies
Experience in leading and working with co-located teams

DTS Data Engineering & Analytics Leader Resume Examples & Samples

Lead several Data as a Service engagements across Supply Chain, Sales & Marketing, Security & Compliance, Military, and other strategic business initiatives
Develop analytics code and data transformation scripts to reveal hidden insights, trends, and opportunities across seemingly unrelated datasets
Develop data and analytics platform strategies for moving “quick-hit” projects to enterprise-class solutions that can scale to extremely large volumes of data
Demonstrate visualizations directly with business partners for feedback and quick iterations using a mix of tools such as Tibco Spotfire and Tableau
Bachelor’s Degree in Computer Science/Engineering, IT, or Data Analytics
Minimum 2 years experience in SQL, as well as one or more scripting languages (e.g., Java, Python, Scala, Shell scripting)
Minimum 2 years experience with ETL/ELT tools and design
Experience with data visualization technologies, primarily Tibco Spotfire
Working knowledge of Hadoop and Greenplum data lake ecosystems
Ability to construct user stories and perform feature extraction from complex or vague requirements
Experience in developing analytics, preferably using R or Python statistical packages
Has participated in Agile project delivery frameworks
Familiarity with MapReduce and Spark principles

Data Engineering Lead Resume Examples & Samples

Bachelor’s degree in computer science, IT or equivalent technical discipline, or approximately 10-12 years’ work experience in relevant focus areas
Demonstrated experience managing teams to prioritize and meet tactical and strategic requirements for frameworks and systems to process data
Over five years in relevant technologies (current examples include Java, ECL, Pentaho, Oracle, NoSQL, Kafka, FLUME)
Prior experience delivering data processing systems to adhere to Sponsor or IC data handling, tagging, compliance, and security requirements

Data Engineering Resume Examples & Samples

Knowledge of database storage, collection and aggregation models, techniques and technologies and the ability to apply such methods to solve business problems
Knowledge of structured problem-solving assignments
Strong project management and people management skills
Knowledge of Microsoft SharePoint, PowerPivot, SRSS, Excel (with embedded Pivot Tables and macros)
Some SQL skills
Experience with at least one key analytics tools (e.g., R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy, Tableau)
Knowledgeable of data mining, analysis, modeling, of large scale, complex data sets
Knowledgeable of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms
Ability to explain complex analytical methodologies and concepts in non-technical language - Exceptional written and verbal communication and presentation skills
Experience with SSAS, SSIS and SSRS is a big plus
Fluent in Japanese

Lead Knowledge Analyst Data Engineering Resume Examples & Samples

Advise and trains junior Analytics team members, actively shares knowledge
Design the on-boarding schedule, provides day-to-day apprenticeship and coaching for Analytics staff with guidance from Knowledge Expert
Participate in (Senior) Knowledge Analyst recruiting
Participate in resource deployment (staffing) according to business needs

Data Engineering & Analytics Resume Examples & Samples

Engage with customers and across functional teams to identify and develop data analytics for target problem/opportunity
Be able to understand analytics/ services requirements & vision
Clearly understanding of proper definition of data needs, evaluation of data quality, and recommend appropriate statistical analysis; for critical projects
Work independently on data aggregation, validation and algorithms development and implement them using technology chosen
Proactively participated in optimizing current data process flow, create reusable data process module for frequent usage and process, and improve data process efficiency and stability
Awareness of increasing efficiency across the teams, eliminating duplication, leveraging analytics and technology reuse
Understand and practice world-class quality in the data analytics/ science and support of customers, products and services
Communicate effectively both within immediate team and also across leadership team
Has clear understanding of business direction, strategy and results
Proactively share information across the team
B.S/ Masters in Computer Science, Mathematics, Applied Statistics
1-3 years’ experience working with data processing software (SQL, Matlab, Python, SAS, SPSS, R or Weka)
Familiarity with Big Data (e.g. Hadoop, Mongo DB, Neo4J, Cassandra, Mahout, Aster )
Good rational ability, communication, inter-personal skills
Rich experience in data manipulation, good sense in data quality, comfortable in dealing with unstructured data
Excellent troubleshooting skills and experience with data analytics and process improvement
Proved data experience in working with large datasets
Great passion in big data and aviation industry
Demonstrates the initiative to explore alternate technology and approaches to solving problems
Experience in breaking down problems, documenting problem statements and estimating efforts
Demonstrates awareness about competitors and industry trends
Has the ability to analyze impact of technology choices
Ability to takes ownership of small sized tasks and deliver while mentoring and helping team members
Understand of issues and presents clear rationale. Able to speak to mutual needs and win-win solutions
Identifies misalignments with goals, objectives, and work direction against the organizational strategy. Makes suggestions to course correct
Persists to completion, especially in the face of overwhelming odds and setbacks. Pushes self for results; pushes others for results through team spirit
Knowledge of aviation industry is a plus
Experience in working with Hadoop/Pig/Datarush, etc. big data processing platform is a plus

Data Engineering Manager Resume Examples & Samples

Lead the Amazon Tickets BI Engineering function, managing a team of BIs and data engineers
Define data architecture and design, and collaborate with data engineers and software engineers to implement your vision
Act as the analytics point of contact for expansion efforts, identifying when, where, and how to grow our business
Present metrics on the health of our business to senior management, providing recommendations on how to adapt business direction, when needed
Interface with business customers, gathering requirements and delivering complete reporting solutions
Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar
6+ years of relevant work experience, including in a supervisory or managerial role covering BI
Experience using databases in a business environment with large-scale, complex datasets
At least 3 years of experience working with SQL/ETL, RedShift, and Python
Experience in statistics and use of statistical applications, such as R or SPSS
Master’s or higher degree in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering
Excellent knowledge of efficient data architecture models and SQL/ETL language
Ability to mentor team members in data analysts and statistical techniques
Capable to taking initiative and working with minimal direction; self-starter when assignments are vague or undefined
Excellent verbal and written communication skills; ability to simplify complex topics for broad audiences, both business and technical teams
Creative in finding new solutions/designing innovative methods, systems, and processes
Proven analytical and quantitative skills to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
An interest in live music and theater
A sense of humor and demonstrated ability to have fun

Senior Manager of Data Engineering Resume Examples & Samples

8+ years of relevant experience including 2+ years in a people management role
Hands-on technical leader that contributes to technical vision, software architecture, process improvements and strategic direction to deliver durable and practical big data platforms
Significant hands-on experience with big data engineering on HDFS, Cassandra and traditional database platforms
Experience in digital media a significant plus

Data Engineering Manager Resume Examples & Samples

Experience designing and building tooling/infrastructure to support large scale data engineering initiatives
Demonstrated quantitative modeling skills with the ability to build innovative complex models
Experience establishing a methodology that allows the efficient exploration of new ideas and productization of proven models
Experience building and mentoring a team of proven experts
Experience with Spark, Hive, Hadoop, Elastic Search, Java/Scala, Python, R

Associate Data Engineering Resume Examples & Samples

Work with data science colleagues to generate powerful datasets for analysis and bring successful analytics to market
Hands-on development in a distributed data environment an asset
Knowledge of Banking and Capital Markets an asset
High performance, pragmatic, detail-oriented

Data Engineering Team Leader Resume Examples & Samples

The chance to collaborate with exceptional colleagues located across the globe on a broad range of projects covering multiple asset classes
To have a real, driving impact on the daily business of the Global Data department at Bloomberg through implementing technical solutions that address core business needs
To work in a startup-like environment in a large, established organization with a global reach
The flexibility to be creative and innovative whilst personally disrupting the status quo
The opportunity to invest in your career by developing your technical skills alongside colleagues who share your enthusiasm about technology

Institutional Technology Director Data Engineering Resume Examples & Samples

Define strategies and develop/deliver solutions and processes for managing enterprise-wide data throughout the data lifecycle from capture to processing to usage across all layers of the application architecture
Provide technical leadership to the application development group on the use of data integration architecture and use of Canonical data models
Assist in the development and implementation of various strategic initiatives around Meta Data Management, Master Data Management, Data Quality, Data Architecture Policies, Data Security, Standards and Governance
Participate in data architecture design and review processes, including planning and monitoring efforts, reviewing deliverables, and communicating to management
Engage in multiple projects simultaneously
Develop and maintain conceptual, logical and physical data models and artifacts for large complex operational systems employing deep system integration and SOA architectures
Interpret and deliver plans that specify strategy and improve data integration, data quality and data delivery in support of big data business initiatives and roadmaps to achieve results
Contribute to analysis, solution design, development and implementation of operational and data warehouse projects
Define data and analytics requirements to support and enable business strategies and priorities
Develop data standards, best practices, processes, and definitions of project and data requirements in support of strategy and ongoing operational support
Mentor and coach a diverse team of data professionals
Successfully partner with Shared Services to leverage central design, standard blueprints and patterns
Implement Divisional IT vision and operating model within the Group Benefits solution architecture
Adhere to Global Information Risk Management policies and standards
5 years of experience in data design, data architecture and data modelling (both transactional and data analytics)
5 years of experience in relational and dimensional data design and modelling in a large multi-platform data environment
Ability to think strategically and relate architectural decision/recommendation to business needs
Working knowledge in how to assess performance of data solutions, diagnose problems and familiar with industry standard tools
Strong understanding of data structure classifications, workflow and data management best practices
Master Data Domain experience in one or more of the following data domains (e.g. Product, Customer, Client, Provider, Vendor)
Industry experience in the financial services- banking/insurance
10+ years of progressive experience with enterprise scale business applications
Mastery of data management design, delivery, techniques, and systems development methodologies
Demonstrated experience managing the complexities of integrating new technologies and influencing individuals across businesses to achieve objectives
Excellent communication and presentation skills with the ability to provide updates to all levels

Head of Analytics & Data Engineering Resume Examples & Samples

Masters in Statistics, Economics, Mathematics or a related highly quantitative field
7+ years of hands-on experience in data analysis, statistical analysis, predictive modeling and machine learning
5+ years of leading teams of analytics professionals to solve problems with statistical/analytical solutions
2+ years of experience with statistical modeling tools (R, Python, SAS, etc.)
2+ year of experience with advanced SQL, and scalable data storage and processing systems
Track record of solving never seen before problems
Excellent communication and data presentation skill
MBA or PhD in Statistics, Economics, Mathematics or a related highly quantitative field
Experience in defining an analytics vision and getting buy-in from senior leaders
Experience using AWS services for data analytics (i.e., Redshift, Kinesis, Data Pipeline, EMR, etc.)

Blg Data Engineering Senior Analyst Resume Examples & Samples

Bachelor's degree in Computer Science, Engineering, Technical Science
Minimum 6 months of building and deploying applications java applications in a Linux/Unix environment
Minimum of 6 months designing and building large scale data loading, manipulation, processing, analysis, blending and exploration solutions using Hadoop/NoSQL technologies (e.g. HDFS, Hive, Sqoop, Flume, Spark, Kafka, HBase, Cassandra, MongoDB etc.)
Minimum 6 months of architecting and organizing data at scale for a Hadoop/NoSQL data stores
Minimum 6 months of coding with MapReduce Java, Spark, Pig, Hadoop Streaming, HiveQL, Perl/Python/PHP for data analysis of production Hadoop/NoSQL applications
Minimum 1+ years designing and implementing relational data models working with RDBMS
Minimum 1+ years working with traditional as well as Big Data ETL
Minimum 1+ years of experience designing and building REST web services
Designing and building statistical analysis models, machine learning models, other analytical modeling using these technologies on large data sets (e.g. R, MLib, Mahout, Spark, GraphX)
Minimum 1 year of experience implementing large scale cloud data solutions using AWS data services e.g. EMR, Redshift
1+ years of hands-on experience designing, implementing and operationalizing production data solutions using emerging technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig, Kafka etc.), NoSQL(e.g. Cassandra, MongoDB), In-Memory Data Technologies, Data Munging Technologies

Business Intelligence Lead-data Engineering Resume Examples & Samples

Business Intelligence team leader to design, develop and implement analytics tools and execute on big data projects through partnership with Engineering IT teams
Manage BI projects towards successful production release and quantify benefits against baseline with business metrics
Supervise BI team members and key activities on BI and data analytics projects
Engage in ad-hoc analytics projects, leveraging statistical, machine learning and/or visual analytics capabilities, to accelerate data to action lifecycle in large scale production environment
Establish scalable, efficient, automated processes for data collection, model development and validation (machine learning), and implementation with diverse, large data sets
Develop BI visual analytics prototypes that can be used to accelerate business decisions in production environment
Lead effort on Spotfire best practices, SDLC management, agile development activity and collaborate closely with IT on systems administrative activities
M.S. or Ph.D. in a relevant technical field (computer science, statistics, data science, engineering, etc.), and 6+ years proven experience in Data Analytics/BI lead role
Expertise in Spotfire 7.0+, Automation Services, Advanced data services and Stats Services (TERR)
Additional experience with Tableau a plus
Skilled in iron python scripting for enhanced Spotfire functionality like data processing, visualization automation and .NET functionality imports.Proficiency with other software development technologies (e.g. Python, Java, C/C++, etc) as plus
Experience developing visualization with JavaScript library {D3.Js, Raphael etc.} is highly desirable.Strong analytical and programming skills, statistical data analysis, regression analysis, CHAID/ANOVA and multivariate analysis
Advanced competency in SQL, PostgreSQL, Stored Procedures/UDFs, query optimization in SQLServer, Netezza (MPP), and AWS Redshift environments with experience in Data Design and Data Modeling.Extensive experience with statistical analysis software e.g. JMP, SAS, Python, Matlab and/or R.Strong project management skills and ability to communicate complex quantitative analysis in a clear, precise, and actionable manner through high impact visualization.Machine Learning or Operations Research experience is a plus!
Applied experience in Lean Startup Methodology and Design Thinking is a plus!

Lead, Analytic Data Engineering Resume Examples & Samples

Works on multiple projects as a technical team member or lead driving user story analysis and elaboration, design and development of analytic data applications, testing, and builds automation tools
Help bridge the gap between the existing skill sets of data engineers and the new Hadoop platform – working with other data engineering personnel teach development of SQL queries on the big data on Hadoop platform
Participates in creating strategies that use business intelligence and data platforms
Works with the Enterprise Data Services (ESD) team members to design and implement data solutions in alignment with project schedules
Works with the Enterprise Data Services (ESD) team members to grow data platform capabilities to solve new data problems and challenges
Creates data flow diagrams, creates a data catalog, and interprets data architecture to analytic teams
Works with other development teams to review and approve database changes according to database design standards and principles
Resolves conflicts between models, ensuring that data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions)
Performs technology and product research to better define requirements, resolve important issues and improve the overall capability of the technology stack
Provides technical assistance to junior team members

Data Engineering Competency Manager Resume Examples & Samples

Responsible for defining, building & maturing the data engineering competency which is critical for the development of LMB data lake platform. Platform supports various business initiatives including fill the lake, operational reporting, analytical reporting, machine learning and data integration
Data engineering competency includes tools & technologies (Hadoop, open source, Informatica BDE, AWS data stack), patterns & concepts required to enable the data lake ecosystem
Responsible for developing data pipeline frameworks & assets, data patterns & standards and data engineering technology roadmap & approach
Responsible to perform various POCs to select the technology, pattern & approach that most fit the business needs
Need to work closely with data delivery teams to develop and share the knowledge assets for business delivery
People management and communication are key skills for this role. Must be able to manage a team 10 – 12 data engineering resources including employees and consultants (on/off)
Effective & timely communication is very vital for this role and should be able to present progress & solution to senior leaders within the organization
Must be able to perform design and code reviews of the data engineering work delivered
Provides effective participation and contribution in developing complex system / application architecture
Data platform will be developed using the modern data technologies including Hadoop (Hortonworks preferred), AWS, data pipeline using open source stack, Informatica big data edition
Help in defining & building the devops for data tech team
At least five years and typically eight or more years of experience with 3 years in a leadership role
Requires strong negotiation, facilitation and consensus building skills; In-depth knowledge of project planning methodologies and tools and IT standards and guidelines; knowledge of management concepts, practices and techniques. I
In-depth knowledge of IT concepts, strategies, and methodologies; thorough knowledge of business functions and operations, objectives and strategies

Director of Data Engineering Resume Examples & Samples

Lead and develop sustainable data driven solutions with current new gen data technologies
Drives rollout of industry frameworks across the company
Sought after by technical resources as the “SME”
Mentor Junior Team Members
Must be familiar with Jira software for agile project tracking
Contributes to the development of project plans, and assigns and monitors tasks of lower level software developers
At least 5 years and typically 8+ Years of experience in coding in data management, data warehousing or unstructured data environments
In-depth knowledge of big data concepts, strategies, and methodologies; thorough knowledge of business functions and operations, objectives and strategies

Dir Data Engineering Resume Examples & Samples

IT professional with 10+ years of proven leadership capabilities, with a minimum of 5 years of experience leading teams as a manager or project manager
Background in the Property & Casualty industry is a plus
BS or BA degree
Excellent verbal, written, and listening skills across multiple audiences from highly technical team members to business consumers at the highest levels of management
More than 8 years of experience in IBM’s IPS (IAA) and or IIW models (desired) or similar modeling framework experience
Prior experience in leading and standing up Integration Competency Center
Good handle on Planning, Change, and Release management
Experience in project, application and service life cycle methodologies·

Data Engineering Analyst Resume Examples & Samples

Collaborates with internal and external clients to provide project support
Generates reports following quality control procedures to document analysis and model findings
Manages data and departmental document repository ensuring up-to-date versions and correct document storage
Provides administrative support for project management including internal and external client projects
Assist in setting up for presentations, summarizing meetings and creating related documentation
Four year degree in Statistics, Economics, Information Management, Engineer or a related field. Master’s degree a plus
Proven problem solving and analytical skills
Must be able to communicate and write in English
Proficient in PC desktop applications, including MS PowerPoint, Word, etc
Four-year university degree in Statistics or Information Management or a related field
Knowledge of such as SQL and Excel VBA
Knowledge of UNIX: file management and basic knowledge of commands such as Bash
Experience with various programming languages: for example SAS, Perl, Python, VB, R is a plus
Knowledge of a data visualization package
Good knowledge/understanding of statistical theory and methods
Experience working with mainframe environments

Real-time Market Data Engineering Intergrator Resume Examples & Samples

Design and make change in the market data and data calculation system to keep the system stable
Delivering projects to improve trading performance, reduce risk and cost
Handle requirements from users and enrich the data to suit the business needs
Work with support team to handle outages and keep the market data system stable
Optimize the infrastructure for capacity and latency
Communicate with external vendors and exchanges and maintain relationship
Engineer a cohesive design for the feed plant when deploying new data feeds
Coordinate with global team on change management
Make C++ code change for small enhancement for the market data applications.*LI-AW1
Be able to work under pressure
Strong scripting skills, Perl is preferred
Good communication skills, Fluent English
Network experience is a plus (TCP/UDP/Multicast)
Good project management skills is a plus

Data Engineering Team Lead Resume Examples & Samples

Undergraduate degree in Information Systems, Business Intelligence, Statistics, Engineering or related technical field
3+ years data analytic experiences working in a progressive technology organization or a global manufacturing operation environment
Demonstrated experience in applying best practices in data analytics and reporting; data integrity, data analysis, data validation, test design, and documentation
Proven experience in writing high quality ANSI SQL code in the creation of metrics and dashboards. Exceptional skills in database technology and SQL programming required
Minimum of one year working with data analysis/statistical tools such as Excel, R, Matlab, SAS, or Minitab, and scripting languages
Effective at troubleshooting, debugging, and root causing defects in metric calculation and/or reporting
Confident in leading small technical team and establishing a culture of excellence
Master Degree in Business Intelligence or engineering
5+ years experience in Fulfillment, Manufacturing, or Logistics
Experience working with Business Intelligent platforms
Prior experience as technical lead of a small, dynamic team

Intern Product Data Engineering Resume Examples & Samples

Candidates must be proficient in Microsoft Word and Excel
Ability to meet tight deadlines in a fast-paced environment
Ability to work effectively autonomously once trained
Excellent analytical, report writing and problem solving skills
Flexibility to work extended hours as per customer needs

Director, EDW Data Engineering Resume Examples & Samples

Manage several data engineering teams
Implement agile development processes
Drive continued improvements on big data ETL processes
Adopt processes that consume data from streaming data
Continue the transformation of our tools, process, metrics, and monitoring
Drive continuous improvement of the platform by measuring against KPI's
Deliver world-class data transformation processes

Manager of Data Engineering, Anti-abuse Resume Examples & Samples

Lead a team of 3 or 4 focused on Business Intelligence
Analyze and validate data using data and reporting tools to ensure high data quality and reliable insights
Recommend and setup a scalable reporting solution which can cater to hundreds of users
Recommend, develop and report on the business metrics and KPIs that provide the best measure of the health of our catalog and product listing ecosystem
Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights
Proactively identify interesting areas for deep dive investigations
Collaborate closely with product managers and specialists to design, execute and analyze results for any experiments
Leverage industry best practices to establish repeatable BI practices, principles & processes
Able to understand and translate business and product questions into analytics projects
Lead a team of 4 engineers
5yrs+ Experience in data mining using databases in a business environment with large-scale, complex datasets
5yrs+ experience building reporting solution in Tableau/OBIEE/Micro strategy
Advance level SQL experience
Understanding of relational databases and basic familiarity with statistics
Extensive experience in building dashboards and reporting solutions for executives
Experience with on-cloud big data tools like Hadoop, Redshift, Quick sight will be an advantage

Data Engineering Manager Resume Examples & Samples

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

Data Engineering Intern Resume Examples & Samples

Studying towards a University course with a significant programming and software engineering element such as Computer Science or Software Engineering or similar
Interest and/or experience of common software development and test processes
Interest and/or experience in ‘Big Data&#8217
Interest and/or experience with programming languages such as Scala, Python or Go
Strong Linux skills
Interest and/or experience of data visualisation tools such as Excel or Tableau
Interest and/or experience with R and SQL

Data Engineering Specialist Resume Examples & Samples

Contributes to the development and deployment of data engineering processes
Develops and tests basic data engineering solutions
Basic knowledge of ETL principles and processes
Assists in development of engineering solutions using ETL tools that move data from disparate source/target systems and the enterprise information repositories
Performs initial functional testing. Assists in incident trouble shooting
Bachelor’s Degree in business, computer science or in “STEM” Majors (Science, Technology, Engineering and Math)
Minimum Cumulative 3.0/4.0 GPA
Graduating between July 2016 and June 2017
Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen
Must be willing to work out of an office located in Van Buren, MI
Basic conceptual knowledge of ETL tools such as Talent, Informatica, or SSIS
Basic exposure to concepts of data quality, data profiling, data governance, and data architecture
Exposure to programming languages like - Python, Perl, R & scripting technologies like Shell
Familiarity with relational databases such as PostgreSQL, Oracle or SQL Server. Exposure to Hadoop tech stack is desired
Experience with the GE Software Center of Excellence Predix platform
Strong interpersonal skills, including the ability to diplomatically advocate for the appropriate support staffing levels
Ability to present effectively to non-technical and executive audiences
Highly self-motivated & self-driven

Data Engineering Tech Lead Resume Examples & Samples

Working with Informatica, Oracle, PL-SQL, and Unix Shell Scripting
Working with Business Intelligence and Reporting teams dealing with Large Data Sets
Using Informatica to create BI solutions database views, triggers, functions, stored procedures, and packages
Working with Project Managers, Scrum Masters, Tech Leads, Developers, Data Modelers, Quality Assurance (QA) teams and Business subject-matter experts to ensure delivered solutions support achievement of business outcomes
Reviewing recommendations for technical solutions and contributing to Technical Design
Analyzing source and target databases for data profiling and patterns
Defining and communicating requirements of technical environments and determining technical scope for projects, providing cost and time estimates and project budget input to Senior/Project Manager
Leading solution delivery, coaching and mentoring data/application engineers
Enforcing performance thresholds and standards, and reviewing and approving performance test results, recommendations, and tuning results
Reviewing creation of test plans, test execution, and validation of test results; and partnering with QA to perform test planning; and
Enforcing architecture, governance, security, and global process standards to system changes and deployments

Data Engineering Manager, Analytics Resume Examples & Samples

Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision
Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
Drive data quality across the product vertical and related business areas
6+ years of experience in BI and Data Warehousing
Experience scaling and managing 5-20 person teams
Communication and leadership skills, with the ability to initiate and drive projects proactively
Data architecture skills
Experience in SQL or similar languages and development experience in at least one scripting language (Python, Perl, etc.)
BA/BS in Computer Science, Math, Physics, or other technical field

Tech & Data Engineering Internship Resume Examples & Samples

Data research and analysis across a broad spectrum of data assets seeking patterns and trends that will provide actionable plans to enhance or strengthen our applications abilities to match and link diverse data assets resulting in a consolidated view of a consumer either domestically or internationally
Research and analysis to continually look for opportunities to create or enhance software tools that will provide a means of standardizing analysis and verification tasks across Transunion’s Global Technology matching solutions
Help create and roll out a Global Technology methodology that will provide a consistent and reliable view of TransUnion’s matching and linking capabilities across our Domestic and International solutions
How you will contribute
Data analysis using Big Data technologies to establish opinions as to whether or not new data sources can or will provide value in enhancing Transunion’s data footprint of consumers both domestically and internationally
Research trends and patterns that may provide new insight into existing data assets
Research trends and patterns in new data assets and how these will impact our existing matching capabilities either with a negative or positive outcome
Continually seek opportunities to apply technology to enhance and maintain a streamlined verification process that will facilitate faster to market capability for new matching solutions
Prepare and present high level or detailed presentations for Senior Leadership and Business stakeholders
Collaborate with matching algorithm analysts incorporating their feedback into terms that technicians can translate into new tools or enhance existing tools
Provide mentoring on newly developed tools to algorithm analysts

Gogo Summer Internship, Data Engineering Resume Examples & Samples

Collaborate with a cross functional team to resolve data quality and operational issues
Maintain, support, and enhance elements of Gogo’s hybrid data warehouse with assistance from your peers
Receive mentoring / coaching from data engineers
Learn programming languages off hours as required such that you progress to a novice/intermediate level – i.e. give yourself homework
Create jobs to perform auditing and error handling
Author SQL queries to investigate data anomalies
Be prepared to work on a variety of different tasks
Write new code in Python or Java (likely one or the other)
Demonstrable experience of overcoming academic or professional adversity to achieve success
Intelligent with an ability to learn quickly
A strong work ethic. Willing to put in the time to learn required skillsets
Kindness and hard work
Major in STEM (Science, Technology, Mathematics, or Engineering) preferred
Strong undergraduate GPA
Computer science or technology course work a plus
Experience with computer programming languages, such as, Java or Python a plus
Exposure to Sequel Querying Language (SQL) a plus

Director, Data Engineering Resume Examples & Samples

Evaluate, recommend, and implement technologies for data ingestion, ETL, storage, and reporting
Develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching, and delivering all consumer data within WWE, which includes methodologies, tools, governance, and conventions
Work with the Data Analytics team (Data Scientists, etc.) to translate business requirements to functional requirements and devise realistic plans to implement the same
Understand how the data relates to the current operations and the effect that any future process changes will have on the use of data in the organization
5+ years of experience in enterprise data architecture
8+ years of experience architecting and supporting high-performance, highly-available and scalable Information Management solutions
Strong understanding of cloud architecture, specifically AWS, as it relates to data processing (i.e., EC2, S3, Redshift, etc.)
Understanding of PII standards, processes, and security protocols
Experience implementing and supporting Operational Data Stores, Data Warehouses, and Data Marts
Experience in leading Information Management related initiatives (system integration, data warehouse build, data mart build, or similar)
Experience with physical, logical, and conceptual data modeling
Experience with implementing data reporting and visualization tools (i.e. Cognos, Informatica, etc.)
Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management
Relevant advanced degree a plus

Business Data Engineering Analyst Resume Examples & Samples

Collaborate with the Line of Business Partners, Data Content & Analytics Teams and the Technical teams to understand the customer, business, local and global market data needs & insight
Identify in collaboration with the Data Content owners across the globe and the Data Governance team the “Quality’ data sources required for delivery of the D&B strategic “Customer Data Asset Value”
Profile the identified datasets and based on results, clean & simplify the data, streamline the data process and strengthen the data value
Define the data transformations rules, with the objective to deliver a consistent view of the “Customer Data Asset Value”
Define in collaboration with the Data Content Team and Line of Business Partners specific data feature requirements
Define in collaboration with the Line of Business Product Owners the data to be rendered in the D&B Customer solutions
Collaborate with the In_Scrum QA, Independent End to End QA team, to define the test scenario's and test scripts to run
Participate and give guidance in the QA-reviews, together with the Data Engineering teams, doing analysis on the defect raised and suggest proposal for resolution
Participate in the Business User Acceptance Testing reviews and post-project analysis to identify, recommend and implement future process improvements
Inform the Program/ Project managers and Scrum masters on project scope and timelines
Provide key input into the Project’s release, sprint grooming and planning
Contribute to and set standards on Business Data Engineering Analyst process and methodology
Monitor and audit the daily production data loads and deliver the detailed Data Insight for the Customer Solutions Teams, covering the timeliness, coverage and consistency of our data

Senior Data Engineering Associate Athenaresearch Resume Examples & Samples

Independently manage projects from beginning to end
Engineer solutions from automated discovery to an expert diagnostic system which combines our knowledge teams’ unrivaled capabilities with technology and embedded analytics
Analyze healthcare data for key insights and deliver a summary of findings
Collaborate in the development of complex analytic, statistical and methodological issues
Develop a “trusted advisor” reputation across athenahealth
Proficiency in at least one programming language (such as Perl, python, C/C++, java) or data extraction language (SQL) or higher level language (such as R, SAS)
Bachelor’s/Master’s degree in Economics, Statistics, Engineering, Computer Science or other quantitative field, plus 3+ years of relevant experience strongly preferred. You may be a software engineer, or you might be doing this type of work off the side of your desk (or even at home)
Sense of humor and effective interpersonal communication skills

Data Engineering Intern Resume Examples & Samples

Assist members of the Army Aircraft Engineering group in the completion of tasks
Assist in the analysis, investigation, solution, and documentation of problems
Assist in the development, review, and archival of electronic and hard copy documentation as required
Participate in selected engineering experiments, tests, and reviews
Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company
Expected to work in a safe manner in accordance with established operating procedures and practices
Typically requires enrollment as an undergraduate or graduate student at a recognized college or university
Must possess the ability to understand new concepts and apply them accurately
The ability to follow general and detailed instructions as well as organizational policies and procedures
Good communication and interpersonal skills to enable effective interface with internal professionals
The ability to work independently or in a team environment
Advanced computer skills with basic coding knowledge
Prefer students pursing an Electrical Engineering, Software Engineering, or Computer Engineering degree
Experience with data modeling, cloud computing, or network engineering a plus

Senior Mgr Data Engineering Resume Examples & Samples

Translate functional and technical requirements into detailed data architecture and data flow design
Work with quantitative modelers within measurement and big data experts at AWS to deliver and operate proprietary technology solutions
Be responsible for overall data system architecture, scalability, reliability, and performance
Hire and mentor other engineers, define the technical culture, and help grow the team
Lead a team responsible for building and migrating the complex ETL pipelines from Oracle system to Redshift and Elastic Map Reduce to make the system grow elastically
Minimum five (5) years of experience data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift, Oracle, or other Big Data technologies
Ability to source and combine disparate data sets to answer business questions
PhD in Engineering or Math/Statistics/Finance or related discipline

Senior Data Engineering Manager, Amazon Go Resume Examples & Samples

Design, implement, and support a platform providing ad hoc access to large datasets
Optimize the performance of business-critical queries and dealing with ETL job related issues
Mine large (terabyte scale) datasets to obtain actionable business insights or to explain business patterns
Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions
Manage Data engineers, prioritize tasks for them and oversee their output
Mentor engineers in the team and guide them on best practices in the industry
5+ years of relevant work experience in analytics, data engineering, business intelligence, market research or related field and 7+ years of professional experience (experience in consumer-facing industry preferred)
Demonstrated strength in data modeling, ETL development, and business intelligence tool(s)
Experience with SQL, ETL and Big Data Technologies (Hadoop, Hive, R, HBase, Pig, Spark etc.)
Proven track record of sharing analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space

Data Engineering Resume Examples & Samples

Creation of prep SQL to retrieve data from data warehouse to support Analytics projects
Performance tuning of complex SQL
Understanding the business needs and bringing the data from various sources to data lake
Data ingestion, extraction from Cassandra
Hands-on on Big data/Hadoop
Creating solutions through Spark for data retrieval needs from Cassandra
Creating reports using Spotfire/Pentaho
Present projects at technical/leadership/tollgate reviews
Technically very strong with at least one of the MPP (Teradata, Greenplum)
Technically very strong with at least one of ETL tools like Informatica
Proficiency in writing PGSQL queries
Very good at one of the reporting tools like Spotfire
Should have extensive experience in SQL, procedures
Should have extensive experience with performance tuning
Should have worked extensively on Oracle
Should have basic skills in Shell scripting
Should have awareness of Big data technology and tools
Experience with at least one data warehousing technology Teradata/Greenplum
Bachelor's degree in Information Systems, Information Technology (IT), Computer Science or Engineering
At least 6 years of total experience with minimum 4 years on MPP and ETL
Good understanding of Data warehousing concepts, (Ex: Greenplum) and business intelligence strategies
Ability to work effectively with multiple teams
Strong desire and attitude to learn Big Data
Ability to coordinate several projects simultaneously
Effective problem identification and solution skills
Proven analytical and organizational ability

Data Engineering Manager Resume Examples & Samples

Hire, develop and manage an India DE team that will collaborate with DE teams in Seattle and Lab126
Help to influence the long term Amazon company financial systems information systems with agile results
Develop reporting to support weekly financial and operational performance metrics including KPI metrics, monthly historical results, monthly forecasts, annual operating plans, and long range three year plans
BS degree computer science, data engineering, or a related field
Previous experience designing and building large data warehouse systems
Experience in managing a tech team at Amazon
Superior attention to detail, project management skills and the ability to successfully manage multiple projects simultaneously
Recent experience with large datasets , and Amazon AWS tools/technologies

Data Engineering Internship Resume Examples & Samples

Majoring in Computer Science, Information Systems, Computer Engineering, Statistics, or related engineering fields with computer programming experience
Fluent in SQL and Python/Java
Analytical skills and the ability to decipher complex business problems
Knowledge of git and Linux
Solid understanding of object-oriented programming
Data visualization skills using Tableau or open source libraries (ggplot2, matplotlib, etc.)
Experience with Cloud Computing Technology (Amazon Web Services)
Understanding of the commodity and financial derivative markets is preferred

Data Engineering Technical Team Lead Resume Examples & Samples

Understand the vision for the JPM Asset Management Data Platform and provide thought leadership in the execution of the strategy
Provide technical leadership in the development and implementation of the data platform
Define product backlog for data products, prioritize features, and define methodology for final acceptance of product
Proactively collaborate with upstream data providers and downstream consumers to prepare roadmap and plan
Provide thought leadership in the big data analytics space
Provide thought-leadership in creating an efficient and scalable reporting platform
Strong knowledge of asset management/wealth management domain
Deep understanding of data analytics, data profiling, data modeling, passion for modern data driven applications
Familiarity with Agile software development methodologies to ensure the early and continuous delivery of software
High energy, demonstrated willingness to learn new technologies, and takes pride in how fast they develop working software
Strong Knowledge of data extraction transformation ( ETL, ELT ) processes
Understanding of big data storage and processing technologies including Hadoop, Spark, Hbase/Cassandra, Spark, Pig and Hive
Prior knowledge and experience as technical product deliverables owner
Knowledge of relational and non-relational database technologies, big data solutions
Knowledge of data science , data mining,
Experience using data visualization, dashboard, reporting tools like Qlik , Tableau , Micro strategy
5+ years of experience leading data integration, data management solutions in financial services ( asset management )
3+ years of experience analyzing source , target systems , transformation rules, , writing functional and technical specs
3+ years of experience in agile software development environment
3+ years of experience on data analysis,, data profiling, data quality analysis

Digital Data Engineering Senior Manager Resume Examples & Samples

Provides solutions tocomplex business problems for area(s) of responsibility where analysis of situations requires an in depth knowledge of organizational objectives
Involved in setting strategic directionto establish near term goals for area of responsibility
Architect modern data solutions in a hybrid environment of traditional and modern data technologies
Implement and deploy custom solutions/applications
Lead and guide implementation teams and provide technical subject matter expertise in support of the following
Minimum 10 years’ experience working in Information Technology related field preferably with Data Warehousing, Business Intelligence, Data Architecture or Data Integration related technologies
Minimum of 4 years’ experience with data loading, acquisition, storage, transformation, and analysis
Minimum 7 years’ experience implementing relational data architecture/ RDBMS products
Minimum 5 years’ experience implementing traditional ETL tools or BI technologies in the healthcare space (payer/provider)
Minimum 3 years' experience in a healthcare consulting/advisory role with accountable sales targets and/or business development responsibilities
Minimum of a Bachelor’s Degree in Mathematics, Engineering, Computer Science or Information Technology related field is required
Experience implementing data wrangling and data blending solutions for enabling self-service solutions
Hands-on experience designing and implementing data applications in production using emerging data technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig, Kafka etc.), NoSQL(e.g. Cassandra, MongoDB), In-Memory Data Technologies, Data Munging Technologies,
Modeling data for Hadoop/NoSQL data stores and building applications around them
Architecting and implementing metadata management solutions around Hadoop and NoSQL in a hybrid environment
Architecting and implementing large scale Hadoop or NoSQL operations in a production environment

Data Engineering Analyst Resume Examples & Samples

1 year Azure HD Insights / Spark Development
3-6 Years previous Analytics experience using SQL
Experience working with statistical and data visualization tools and techniques

Data Engineering Lead Resume Examples & Samples

Build and maintain data infrastructure software to support data and analytics, including quality, governance, lifecycle management, and compliance
Lead a team of data engineers and data architects, reporting to the VP of Data and Analytics
Create processes frameworks, design and implementation of data migration and data processing on Spark, Hadoop, Pentaho and related platforms
Provide strategic direction, evaluation and recommendation of data and analytics products
Evaluate current data environments, conduct research, recommend, and implement innovative designs that can enhance the reliability, security, productivity, and efficiency of the data infrastructure
Assists other IT functional teams to troubleshoot critical business systems
Ensure that data for top tier applications maintain a state of high availability
Act as a core team member of the Ascend Learning Architecture Council and work closely with CISO on company security policies and governance of data across the company
Mentor junior members of the data and analytics teams
Work with the engineers, quality engineering, DBAs, information security, network, operations, product and project management teams to design and implement new business initiatives as related to data and analytics
Works independently with minimal direction
Builds trust and works collaboratively with all levels of the Tech and Ops organization, including staff, business stakeholders, and executives
Excellent verbal and written communication skills with all levels of users and with management. Public speaking experience a plus: we encourage people to participate in conferences
Strong influencing, negotiation, and conflict resolution skills
Bachelor's degree in Information Systems, Information Technology, Computer Science, Engineering or equivalent work experience
5+ years of strong system design/development experience in building large scale distributed systems and products
3+ years of good experience in working with Hadoop (HDFS and MapReduce) and related data technologies like Spark, Kafka, Pig, Hive, Pentaho, streaming technologies (Kafka Streams, Flink, Storm, Samza, Spark Streaming), HBase/Cassandra, MongoDB, and Zookeeper
Troubleshooting: The candidate must be able to engage in solving complex problems. Programming problems are a good example
Public cloud experience e.g. AWS, Azure, Google Cloud
Databases: Advanced SQL knowledge a must. Good to have advanced data warehousing and MPP knowledge but it's not a must have
Linux/Unix and system administration: Advanced Linux knowledge is a must. Understanding of shell, debugging things etc. The candidate should be able to get their way around Linux and get things to work
Networking and Hardware: Advanced networking and hardware knowledge required
Programming: Strong in a JVM-based programming language. Java or Scala would be preferable. If not one of these two, the candidate must have a good handle on the language and display the ability to pick up Java or Scala
Familiarity with code execution and deployments to development, staging and production environments dictated by through a change management process
Big picture / High-level architecture: The candidate must be able to think at a high level about the overall systems and goals of the projects
Background in ETL. Practical experience dealing with large ETL pipelines is a plus
Distributed systems understanding
Agile development and scrum team experience
Experience leading engineers and working on geographically dispersed teams
Experience with large scale near real-time applications preferred
Experience on programming infrastructure management or automation tools like Salt, Puppet, or Chef preferred
Education background in systems is a huge plus
Background in project management preferred
Involvement in OSS projects preferred
Vertical specialization. Having worked on specialized systems such as adaptive learning, fraud detection, advanced analytics, monitoring etc. would be beneficial as well
Disciplined, dynamic and flexible to manage multiple projects and tasks, work effectively in a rapidly changing environment and meet ongoing and overlapping deadlines
Occasion work on weekends/nights for on-call incident troubleshooting or administration of regular, off-hour deployments
Writing skills: the candidates need to write good documentation and are also encouraged to write blogs etc. to build their reputation in the industry

Digital Data Engineering Manager Resume Examples & Samples

Identifies, assesses and solves complex business problems for area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors
Closely follows the strategic directionset by senior management when establishing near term goals
Interacts with senior managementat a client and/or within Accenture on matters where they may need to gain acceptance on an alternate approach
Hassome latitudein decision-making. Acts independently to determine methods and procedures onnew assignments
Decisions have a major day to day impact onarea of responsibility
Manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Architect modern data solutions in a hybrid environment of traditional and modern data technologies such as Hadoop, NoSQL
Create technical and operational architectures for these solutions incorporating Hadoop, NoSQL and other modern data technologies
Implement and deploy custom solutions/applications using Hadoop/NoSQL
Bachelor's degree in Computer Science, Engineering, Technical Science or 5 years of IT/Programming experience is required
Minimum 2 years of designing, building and operationalizing large scale applications using Hadoop and NoSQL components - HDFS, HBase, Hive, Sqoop, Flume, Spark, MapReduce, Kafka, Cassandra, MongoDB etc. in production in a healthcare (payer/provider) environment
Minimum 2 years of organizing and architecting data at scale for Hadoop/NoSQL data stores
Minimum 1 year of MapReduce coding, including Java, Python, Pig programming, Hadoop Streaming, or HiveQL for data analysis of production applications
Minimum 2 years working with traditional and Big Data ETL tools in a healthcare (payer/provider) environment
Minimum 3 years’ healthcare industry systems development and implementation experience
Minimum 2 years’ designing and implementing relational data models working with RDBMS
Minimum 2 years’ experience building and deploying Java apps to production
Minimum 1 year of administering and managing large production Hadoop/NoSQL clusters
Re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies
Experience with identifying, designing and implementing functional solutions for big data use cases in the healthcare industry

VP, Data Engineering Resume Examples & Samples

Provide technical leadership in the architecture of data platforms and implementations as well as selection of component technologies
Work closely with ZapLabs’ Product Managers to translate business needs into data requirements for core applications and data science/analyst users
Build a modern data warehouse using industry-best tools and technologies
Manage numerous concurrent projects in a fast-paced environment with ability to reprioritize as needed to deliver highest business value and meet internal and external customer needs
Maintain and evangelize the data engineering roadmap to various groups ranging from executives to new hires
10+ years of data engineering and software development experience with significant technical leadership experience
Expert in big data systems
Deep experience with APIs for data serialization systems
Expert knowledge of business intelligence tools and technologies
Solid understanding of distributed computing principles and experience designing scalable platform services
Ability to meet deadlines with high attention to detail
Strong written, verbal, and presentation skills and ability to tailor communication approach to different audiences

Senior Director, Analytics & Data Engineering Resume Examples & Samples

Evaluate, recommend, and implement technologies for data acquisition, ETL, storage, and reporting
Manage data for accuracy, currency, and usage
Develop standards for naming, describing, governing, managing, modeling, storing, cleansing, transforming, searching, and delivering data within Medidata
Work with the Data Science team to translate business requirements to functional requirements and devise realistic plans to implement the same
Work with team members and other technology groups to ensure all systems are scalable, optimized for performance, have full DR redundancy, and are secure
Experience leading data technology related strategic decisions, definition and implementation of data platforms and products based upon the ability to identify, anticipate and exploit emerging technology trends in pursuit of the Company’s overall goals and vision
10+ years of experience architecting and supporting high-performance, highly-available and scalable Information Management solutions
Proven expertise in Relational and Dimensional Data Modeling
Experience leading and architecting enterprise wide initiatives, specifically system integration, data warehouse build, data mart build, data lakes, etc. for a large enterprise
Experience with implementing data reporting and visualization tools (i.e. Business Objects, Informatica, Pentaho.)
Fluent in hands-on management of agile, iterative development spanning specification, prototyping, architecture, QA, operations and support
Experience with streaming data processing and AWS
Bachelor degree in Computer Science (or related technical field) preferred
Excellent leadership, communication and presentation skills, both written and oral
Strong people management skills with proven success in motivating, mentoring and creating an environment where the best talent wants to be

Director, Data Engineering Resume Examples & Samples

At least 8 years of experience in data management
At least 8 years of experience in leading customer engagement
At least 5 years of experience in people management
At least 5 years of experience in customer data integration
2+ years experience with cloud computing
2+ years experience with event / message driven architectures
3+ years experience with new data technologies
5+ years experience with agile software development and Scaled Agile Frameworks

Data Engineering Specialist Resume Examples & Samples

Performs a variety of BI reporting, intelligence & data transformations
Working knowledge of methods for parsing, formatting, & transforming data into units consistent with analytical needs
Ability to develop and maintain comprehensive BI views and drive standardization in BI reports as needed
Bachelor's Degree in Computer Science, Information Technology or equivalent with minimum 4-5 years of experience in BI Development, data engineering, etc
Exposure to various BI technologies such as SAP BI, OBIEE, Tableau, Qlikview and has demonstrated ability of learning new technologies
Translates analytics problems into data requirements and creates smart BI
Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team

Tech Lead, Data Engineering Resume Examples & Samples

We are a collaborative and data science/analytics team with diverse backgrounds and experiences; Take a listen first approach but share knowledge and clearly articulate insights and best practices
Be the liaison between the Scrum Product owner and data engineers translating product requests into Scrum stories
Build rock solid data pipelines that run 24 hours a day 7 days a week that are easily monitored and maintained by our Dev Ops teams
Learn continuously, leveraging IgnitionOne training resources or through self-directed sites
Development experience with Big Data/NoSQL platforms, such as Apache Cassandra, DynamoDB, Hortonworks, Redshift or Amazon EMR
Development experience with traditional relational databases, such as SQL Server, MySQL, or Postgres
Implementing ETL processes
Previous experience in leading a team of technical staff

Data Engineering Intern Resume Examples & Samples

Interface with Data Engineers to understand product goals and data needs
Support critical data processes running in production
Pursuing a BS, MS, or PhD degree in one of the following areas: Computer Science, or related technical field
Programming experience in Python
Curious, self-driven, analytical and excited to play with data
Considering applicants local to the Sunnyvale, CA area only at this time

Specialist, Data Engineering Resume Examples & Samples

B.E/ B.Tech in Computer Science, Computer Engineering with 3-5 years of data engineering, data science experience or software engineering
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
Significant knowledge of data modeling
Understanding of different data structures and their benefits and limitations under particular use cases
Strong experience working hands-on with big data systems
Good practical coding experience (e.g. python, java, pig) and knowledge about data visualization and exploration
Good knowledge of machine learning

SVP / VP, Big Data Engineering Resume Examples & Samples

Drive the creation and management of the data engineering team responsible for designing and developing the architecture and solutions required for enabling effective leverage of internal / external data for the entire Bank
Drive the architecture, design and development of the Big Data stack
Drive the development best practices including continuous integration and continuous delivery in an Agile environment
Recruitment of developers and testers required for the mission
Manage and prioritize competing demands
Drive the greenfield development of the Enterprise Data repository, and development of all other use-cases on top of the lake, for the purposes of analytics and reporting purposes (including regulatory reporting)
Design and implement strategies, architecture, ingestion, storage, consumption and delivery processes for complex, large-volume, multi-variate, batch and real time data sets used for modeling, and data mining purposes
Design and implement data ingestion techniques for real time and batch processes for different data types (structured and unstructured data) into the Enterprise Data repository
Manage the development teams (50 - 80+ people based in Singapore and Hyderabad) in the identification of business requirements, functional design, process design, prototyping, development, testing, training, and operationalization of support
Drive technology selection and R&D of emerging technologies as it relates to the big data ecosystems
Partner with relevant Big Data vendors to supplement the open-sourced based solution as relevant

Data Engineering Specialist Resume Examples & Samples

Write complex SQL (100’s of lines) that is able to transform, pivot, and stitch big data sets, both relational and non-relational
Hands-on proficiency in SQL
Experience with ETL/ELT tools and design, specifically Informatica or Talend Open Studio 6.x (Talend Big Data Integration preferred)
Perform development and operations duties, sometimes requiring support during off-work hours
Familiarity and experience with using the Linux command line
Excellent written and verbal communication skills, especially with product owners
Familiar with Agile project delivery frameworks
Familiar with CDC-based enterprise data ingestion technologies

Head of Data Engineering Resume Examples & Samples

Understand the vision for the Real-time Data Platform and provide thought leadership in the execution of the strategy
Actively collaborate with upstream data providers and downstream consumers to prepare the roadmap and plan
Provide thought-leadership in creating an efficient and scalable reporting and analytics platform
Collaborate with the architecture teams on creating solutions to achieve aspects of the data strategy
Deep understanding of data analytics, data profiling, data modeling, data quality, passion for modern data driven applications
Must be self-directed/self-motivated with a clear sense of ownership and a solution oriented approach
Strong Knowledge of data integration / movement technologies
Understanding of big data storage and processing technologies including Hadoop, Spark, Hbase/Cassandra, Phoenix, Spark, Pig and Hive
Knowledge of relational and non-relational database technologies, big data solutions, data science, and data mining
Experience using data visualization, dashboard, and reporting tools like Tableau and Cognos
8+ years of experience leading data integration, data management solutions in financial services
4+ years of experience in agile software development environment
10+ years of experience on data analysis, data profiling, data quality analysis

Manager, IT Data Engineering Resume Examples & Samples

Maintains quality service by enforcing quality and customer service standards; analyzing and resolving quality and customer service problems; identifying trends; recommending system improvements
Provides leadership, organizational structure and resource management for RCA Engineering teams
Executes application development plans aligned with the goals / strategies of the business staffed with appropriately skilled technical resources
Assigns work to subordinates, monitors performance, and conducts performance appraisals. Interviews and makes recommendations for additional staff. Maintains staff by recruiting, selecting, orienting, and training employees; maintaining a safe, secure, and legal work environment; developing personal growth opportunities
Accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards
Work is performed without appreciable direction. Exercises considerable latitude in meeting predetermined objectives. Completed work is reviewed for desired results
Ensures that their team objectives are completed on schedule, and within a defined budget, following established and agreed procedures and timelines. Decisions may impact departmental projects
Communication normally relates to projects and departments. May have contact with vendors and consultants engaged in supporting the work activities of the group. May present formally or informally to senior management
Primarily responsible for the management of projects and identifies resource needs
Assigns tasks in alignment with project milestones, and oversees their completion. Reports on project progress
Owns communication between business, client, staff and engineering teams
Owns management of staff, teams, and matrix resources to meet service delivery SLAs. Influences p[planning and management of projects supporting Enterprise areas
Influences solution enhancements improving performance / availability
Ensure project deliverables are accomplished on time and within budget. Ensure that all technology standards are adhered to while developing systems. Support business required technology freeze periods
Work collaboratively with business partners to define and ensure the completeness and accuracy of system / technical requirements
Monitor and manage project risks and develop appropriate mitigation plans

Data Engineering Associate Resume Examples & Samples

Design, build, and maintain Aladdin batch cloud and analytics platform, working closely with end users requirements
Analyze and improve performance of applications and related operational workflow
Implement new business functionality to meet business and customer requirements, working closely with end users, with corresponding clear and concise documentation
Diagnose, research and resolve software defects
Provide ad-hoc support and analysis for existing processes and new business opportunities
Be a self-starter and work with minimal supervision in a team environment
1-3+ years hands-on programming in Python or Perl (emphasis on Object Oriented)
1-3+ years database experience (SQL, stored procedures, data modelling) – Sybase preferable
Web development experience is a plus, using Java Script (ex/ AngularJS and JQuery), Bootstrap, HTML/CSS, MVC frameworks and JSP, and UI Design
Knowledge of software development best practices (analysis, design, development, testing)
Ability to multi-task in a collaborative, fast-paced environment

Data Engineering Intern Resume Examples & Samples

Work on transformation of existing data and analytic infrastructure to a highly scalable, flexible, and performant big data platform using SQL, NoSQL, and NewSQL technologies
Design and build efficient ETL/ELT process to move data through the data processing pipeline to meet the demands of the business use cases
Optimize and automate data ingestion, data processing and distribution data from variety of sources, including click stream data, ratings data, advertising data, 3rd party sources
Manage complex data dependencies across datasets and incremental data loading workflows
Exposure to data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment leveraging the latest open source and Java technologies
Must have firm understanding of database systems – Data modeling, SQL query Processing and Transactions Know how to scale systems and make them fast with experience debugging and tracing SQL performance issues
Solid understanding of software development from design and architecture to production
Familiar with technologies relevant to the data and integration space including Hadoop (EMR, HDInsight or HDP), Redshift or Azure SQL Data Warehouse, Hive, Spark, Python, DI tools (like Streamsets, NiFi)
Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
Passionate about data, technology, & creative innovation
Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Affinity for Television Shows and its Ad business
All students must be eligible to work in the US
All students must be at least 18 years old
You must currently be enrolled in an accredited college or university and taking at least one class – OR – be a recent graduate of an accredited college or university within the last six (6) months - OR - be currently participating in the Disney College Program, Disney Culinary Program or Disney Professional Internship Program in order to qualify for this internship
All students must provide their own housing and transportation for the duration of the internship
Undergraduate students in their Junior or Senior year

Director, Data Engineering Resume Examples & Samples

Knowledge of modern programming languages such as: C#, R, Shiny, and javascript/jQuery
Knowledge of Unix/Linux, Big Data (Hadoop), MS SQL, DB2, NOSQL, and various other technologies
Experience with object oriented programing, relational database technologies, distributed computing tech (Hadoop, spark), RESTful API, WebUI (HTML 5) and Modern JS frameworks

Director Data Engineering Resume Examples & Samples

MS degree in Computer Science
Ability to work with technical and business-oriented teams
Experience building Big Data solutions using Hadoop and/or NoSQL technology
Ability to work with non-technical resources on the team to translate data needs into Big Data solutions using the appropriate tools
Experience working with very large data sets, knows how to build programs that leverage the parallel capabilities of Hadoop and MPP platforms
Experience designing and delivering services-based solutions on Hadoop

Data Engineering Manager Resume Examples & Samples

Deliver on all project management activities for an assigned project or program from initiation through closure
Demonstrate natural leadership and communication skills to instill confidence in business executive team of your expertise and capability
Manage projects across multiple functional areas of the business
Manage multiple projects or programs simultaneously, across multiple businesses, across time zones, internationally
Introduce best practices, and drive adoption and utilization of industry standard tools, processes and templates
Work with a continuous improvement mind-set so that all activities become inputs and improvements for future projects
Identify and manage project and program interdependencies
Manage external parties involved in an assigned project
Manage project completion, handover to steady-state, and post implementation reviews
Experienced with database design and management
Understanding of consumer and retail data sources and data infrastructure
Works closely with Network Operations, Programming, Project Management, and other business areas to install, configure, troubleshoot, and maintain all database systems
Direct and support contracted third-party solution providers in installing new or maintaining existing business application databases
Bachelor’s degree in Computer Science or Information Technology; and
Formal project management experience; and
5 years progressive, professional hands on experience in complex SQL database environments and operations; and
3 years supervisory or management experience
Project Management Professional (PMP) certified
Able to demonstrate successful experience in managing projects across multiple business functions and disciplines
Able to demonstrate experience in leading discussions and extracting required information out of resources to define business requirements, project scope, solution design and options analysis, project planning, resource management, risk and issue management, communications plans, then be able to drive projects through to a successful completion
Able to demonstrate ability to confront situations that need resolution, no matter how uncomfortable the situation is
Experience in SQL server analytics, Microsoft SQL Server administration, Reporting Services, Integration Services, Analysis Services, Data replication and Microsoft SQL Server AlwaysOn
Expertise in developing stored procedures, user-defined functions, view, and triggers
Expertise creating and managing indexes and statistics
Excellent verbal and written communication skills along with interpersonal skills to work effectively with levels of management, personnel and solution providers

Analyst, Data Engineering Resume Examples & Samples

Analyze, design and develop automated processes, leveraging process and programming techniques, to run BlackRock’s proprietary financial models and reporting applications on all client portfolios and holdings on a daily basis
Identify opportunities or drive self/team initiated changes for increased throughput and quality in production processes, partnering with key operational teams. Ensure quality, cost and efficiency requirements are met using a variety of process improvement methodologies
Provide ongoing support and maintenance of existing process and applications. The team’s global support model helps to minimize the need for on-call support
Develop an increasing understanding of technologies and architectures, including enterprise architecture, design and implementation, software design and deployment best practices
A successful candidate will strive to establish solid relationship with key business teams, learning their business processes and needs, and then develop and implement new processes needed to support changes, efficiencies, and expense reduction in the business
0-2.5 year of relevant industry experience
Bachelor’s or MS degree in Information Systems and Technology / Computer Science / Mathematics
Programming knowledge in strongly typed languages like Java, or C++
Proficient in scripting language such as Perl, Python or other scripting
Knowledge of SQL or MySQL
Knowledge of Web technologies like JavaScript, AngularJS, HTML and AJAX is a plus
Strong knowledge of development best practices, design patterns, and process design
Enjoys a fast-paced, high-intensity, cross-functional environment
Ability to absorb high volume of information and data quickly
Excellent communication skills, both written and verbal. Ability to communicate at all levels of the organization
Experience in the finance industry or knowledge of financial products is a plus

Data Engineering Specialist Resume Examples & Samples

Hands on development of PL SQL and Informatica scripts/jobs
Business Objects backend development, including objects and universe design
Integration and knowledge transfer with the support organization
Bachelor’s degree in IT or IT-related field and 0-2 years of data warehouse, SQL, ETL & reporting technical experience
Located Bangalore, India
Experience in oracle and should be adept with Data Warehouse concepts
Experience using BI tools e.g. Informatica, Business Objects & Tableau
Experience with payroll & finance domain
Willingness to learn technical concepts and drive efficiency within team
Ability to balance multiple project teams, stakeholders, and priorities and to communicate with stakeholders where there are conflicts
Knowledge of working with Cloud concepts, including data privacy risks
Expresses the information clearly and concisely. Projects knowledge of relevant data
Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea
Deep passion for learning

Data Engineering Specialist Resume Examples & Samples

Must have good communication skills both oral and written
Exposure to Database/Data Lake & Warehouse, SQL (Oracle, Terradata, Greenplum, Postgres etc), and ETL (Talend, Informatica) is required
Exposure to other BI technologies Data Engineering. Data Visualization (SAP BI, OBIEE, Tableau, Qlikview), Data Science (R, Python, SAS) and has demonstrated ability of learning new technologies

Senior Director, Data Engineering Resume Examples & Samples

Demonstrated ability to effectively communicate and negotiate across the business and in the external health care environment
Pharmacoeconomics and outcomes research using retrospective and predictive study design
Healthcare experience; pharmaceutical industry experience is a plus
Experience with data mining tools, neural network techniques, machine learning procedures and structural risk minimization techniques; strong project management abilities

Manager of Data Engineering Resume Examples & Samples

Lead a team of Engineers and Architects that design innovative, high-impact visualizations
Act as product manager, ensuring your team turns requirements into executive-facing products
Facilitate rapid delivery on concepts through prototypes presented for feedback
Manage the complete lifecycle of applications – from mock-ups to production ready applications
Develop a best-in-class repository of re-usable data visualization templates and views
Drive the collection of new data and the refinement of existing data sources to enable consistent elevation of analysis quality
Interpret data and communicate complex findings to leaders in CS and across the business
Bachelor’s degree in related field
10+ years of experience in BI/analysis with experience managing direct reports
Strong background in data relationships, data mining and quantitative vs. qualitative analytics
Proficient at developing and managing effective working relationships with leadership
Good instincts; you know your customer and how best to serve them, even when they don’t
Ability to work independently and problem solve with little to no direction
Accountability: sound judgment and a capacity to handle confidential information appropriately
Impeccable customer service focus with a demonstrated desire to exceed expectations
Attention to detail; you prioritize multiple tasks simultaneously without sacrificing the ability to dive deep
Master’s degree in related field
Familiarity with MicroStrategy and RedShift
Familiarity with Big Data Technologies
Knowledge of UI/UX best practices
Previous work experience in applying statistics to Customer Service
Familiarity with agile development is a plus

Data Engineering Internship Resume Examples & Samples

Strong programming experience in at least one of the following languages: Java, Golang, or Python
Experience with message queues like Apache, Kafka
Experience with big data frameworks such as Hadoop/Spark
Experience with front end development in areas such as HTML, Javascript, CSS, and/or UI
Experience building hybrid infrastructures and working with electromechanical systems
Experience with driving the adoption of data platforms
High standards for code quality, maintainability, testing and performance
Work with a cross-functional team of hardware engineers, application/UI software engineers, QA/Validation and designers
Currently working towards a BS, MS, or advanced degree in a relevant engineering program
You must be self-managed and committed to working in a fast-paced environment
Hands-on experience is a must
Professional and positive communication skills
Previous internship and/or project experience is a plus
Ability to relocate to Palo Alto or Fremont, CA

Data Engineering Specialist Resume Examples & Samples

Development / Support of reports in OBIEE, Tableau
Development / Support of ETL using Informatica, ODI
Development of SQL/PLSQL scripts
Build Technical design documentation, Functional documentation, Test use cases for the solution deployed
Must have good problem-solving skills and should be a good team player
Willingness to learn in-depth technical concepts and drive efficiency within team
Managing a variety of data loads and data transformations
Knowledge of implementation of logical/physical data models that support MDM best practices
2-5 years of BI Development experience
Prior role developing/managing/working with ETL & reporting tools (Informatica 9x, ODI 11g, OBIEE 11g, Tableau 9.x)
Experience unit testing / SDLC lifecyle
Fair understanding or exposure to Fastworks / Agile(Scrum)
Ability to deliver under pressure, work well across projects, identify priorities and to communicate with stakeholders
Experience in Unix shell scripting
Understands logical and physical data models, storage architecture, data modeling methodologies, data lineage & data profiling

Data Engineering Service Lead Resume Examples & Samples

Experience of managing enterprise scale data, with knowledge of Big Data, Analytics, Reporting, BI, Data Warehousing, and Data Integration technologies
Ability to think strategically about technology, recommend solutions that align with business strategy and achieve the greatest business impact
Understanding of latest AWS technologies (S3, EC2, Integration tools, Hadoop, Redshift, building large-scale and complex systems)
Experience using at least one scripting language like Python and repository/versioning tools such as GitHub
Demonstrated high learning agility with a strong sense of ownership, urgency and drive
Experience managing and developing a team and leading a technology service
Strong organizational, planning and financial management skills and demonstrated ability to effectively collaborate across a matrixed organization

Data Engineering Specialist Resume Examples & Samples

Has the ability to take ownership of small tasks and deliver without supervision while using their discretion to seek help when necessary
Demonstrate the ability to help team members through pair programming and code reviews
Demonstrates awareness about product positioning and differentiations
Has the ability to evaluate basic technology choices and articulate tradeoffs
Applies principles of SDLC and Lean/Agile/XP/TDD/CI/CD methodologies to deliver high quality, secured, and scalable software modules
Skilled in writing code that meets standards and delivers desired functionality using the technology selected for the project
Skilled in core data structures and algorithms and implements them using language of choice

100

Director of Data Engineering Resume Examples & Samples

Manage a team of data engineers responsible for building, operating the ETL process and providing data insights to each function in the organization
Design, build and own the infrastructure that enable these pipeline to be highly available and scalable
Integrate, materialize, and consolidate data to solve real-life analytics challenges
Communicate with the many organizations (sales, operations, finance, engineering)
Facilitate teams accomplishing their goals by providing data to drive decisions
Mentor team in best practices

101

Director, Data Engineering Resume Examples & Samples

BS in Computer Science, Engineering, or related technical discipline - or equivalent combination of training and experience
Experience with building and leading mediums sized teams of engineers and architects (4-10 FTE)
8+ years core Java experience: building business logic layers and back-end systems for high-volume pipelines
Experience collaborating with outside engineering teams and organizations
Experience with spark streaming and scala technologies
Understanding of data flows, data architecture, ETL, and processing of structured and unstructured data
Current experience using Java development, SQL Database systems, and Apache products
Experience with high-speed messaging frameworks and streaming (Kafka, Akka, Reactive)
Current experience developing and deploying applications to a public cloud (AWS, GCE)
Experience with DevOps tools (GitHub, TravisCI, Jira) and methodologies (Lean, Agile, Scrum, Test Driven Development)
Experience with data science and machine/deep learning a plus
Ability to learn new technologies and evaluate multiple technologies to solve a problem
Strong work ethic and entrepreneurial spirit
Nice to haves
Experience with Lambda Architectures built on SMACK stack

102

Senior Director, Data Engineering Resume Examples & Samples

Bachelor's degree or military experience
At least 10 years of experience in data management
At least 3 years of experience in full stack software application development
4+ years experience with cloud computing
4+ years experience with event / message driven architectures
4+ years experience with new data technologies
7+ years experience with agile software development and Scaled Agile Frameworks

103

Data Engineering Lead-t&l Digital Resume Examples & Samples

Lead and coach a team of talented data engineers tasked with leveraging a scalable, performant data engineering ecosystem for internal and external app development
Craft a meaningful vision for the team and ensure achievement of immediate term goals through teamwork and high standards
Represent the Data Engineering group to various stakeholders with myriad data and analytics needs
Provide major contributions to the technological foundation upon which Maersk’s next generation of digital products will be built
Build a high-impact team while fostering a collaborative and inclusive environment

104

Global Head Data Engineering & Emerging Technologies Resume Examples & Samples

Bachelor’s degree with emphasis in bioinformatics or computer science
Analytics in a R&D capacity within bio-pharma
Experience in information management, knowing the process of managing information
Technical expertise, architecture, and familiarity with advance analytics architecture technology
Experience with Hadoop, and ability to lead the team on this platform with design platform architecture
Experience implementing or designing a Data Lake
Advanced knowledge of design architecture for Hadoop Hortonworks

105

Senior ITS Developer Data Engineering Resume Examples & Samples

8+ years of experience is required
High level of enthusiasm and a love of data
Solid scripting and programming skills, with languages such as Python, C#, C++, Java, Ruby, Scala, and Erlang
Experience developing integration solutions using multiple approaches and tools, including ETL (Informatica PowerCenter, Pentaho), ESB (MuleSoft, SAP PI), messaging (Kafka, RabbitMQ), and data virtualization (Denodo, JBoss Teiid)
Experience developing data solutions using multiple database technologies, including relational (Oracle and SQL Server) and NoSQL (Cassandra, MongoDB, HBase). This includes development experience in PL/SQL or T-SQL for relational databases
Experience developing reporting and visualization solutions in multiple tools (Crystal Reports, SSRS, Spotfire, PowerBI)
Experience leading technical teams and/or multiple projects using agile methodologies
Demonstrated success defining and implementing data management solutions involving IoT, Big Data, and Cloud
Demonstrated results working with business domain experts to research opportunities for data acquisition and new uses for existing data
Ability to integrate new data management technologies and software engineering tools into existing structures
Ability to initiate and effectively manage communication and collaboration with a broad array of business personnel
Solution development using Access and Excel, including experience with VBA
Data mining, machine learning, natural language processing, or information retrieval
Knowledge of statistical and data science software packages and toolkits such as R, Python, Weka, NumPy, SPSS, SAS, MATLAB, and Stata
Tools and techniques for improving data reliability, efficiency, and quality
Documenting requirements in functional/technical specifications
Data warehousing and data modeling techniques and tools
APIs for developer and data scientist consumption and integration with other tools (both web and rich-client based)
Testing, build, and version control concepts and best practices
Solutions on both Windows and Linux, including multi-tier server environments
Large-scale systems support, including familiarity with monitoring, logging, and ticketing tools
BPM, orchestration, scheduling, and workflow automation technologies
Responsible for the Collection, Storage, Processing, Transformation, Cleaning, and Analysis of data as required
Recommending, selecting, and integrating any Big Data or Small Data tools and frameworks required to provide requested capabilities
Remain current with emerging technologies and industry best practices; guide/mentor other developers on major strategies and methodologies

106

Data Engineering Developer Resume Examples & Samples

You will utilize mature programming methodologies and languages and adhere to coding standards, procedures and techniques while contributing to the technical code documentation
You will be part of the team for transforming the existing platform on ETL to a strategic platform build in cutting edge technologies within the big data platform. This would require you to carry custom development, customization and integration with in-house solutions and vendor solutions leading to a complete platform that caters to key business requirements
Bachelor’s Degree with specialized coursework in Computer Science or Management Information Systems
5+ years of experience developing enterprise-grade data integration solution
Good knowledge of Java and JVM, Python/JavaScript, C and Linux system (5+ years' experience required); you should be capable of programming in compiled and dynamic languages
Should have worked on database technologies and be expected to provide frameworks and code in various technologies including Greenplum, Java, Hadoop, Splunk and others
You have expertise in data stores (both transactional and non-transactional), and can code in a highly concurrent environment
Prior ETL development job experience required; 2+ years of experience ideal
Ability to operate effectively in ambiguous situations
Ability to learn quickly, manage work independently and is a team player
Proven ability to create and execute queries, pivot tables and reports from database sources
2+ years of experience developing data integration jobs in the Hadoop environment, including hands-on experience with MapReduce, Spark, Pig and Hive
Job scheduler tools: preferably CA experience but any scheduling tool experience could suffice
3+ years of experience working with MPP data warehousing platforms such as Greenplum
Experience in Business Intelligence, preferably, Qlikview, Or any other Analytical Products for dashboard / report development

107

Senior Director, Data Engineering Resume Examples & Samples

Hire and lead the data engineering team. Engineering managers and ICs will report to you
Architect and build big data systems for Zillow Group (ZG)
Define the future of how big data and analytics intersect at ZG. The analytics community at ZG will rely on you to build & maintain a data environment built for speed, accuracy, consistency and ‘up’ time. Support analytics by building a world-class data warehousing environment that empowers analysts to deliver insights to their stakeholders at ZG’s rapid pace
Be highly customer centric about serving the needs of stakeholders
Evangelize big data at the company. Executives seek your advice to solve their big data problems
Be a trusted partner for analysts. Build and maintain data infrastructure, such as SQL Server, Redshift, Hive, Presto and Spark, and enable analysts to be more efficient and effective in their jobs. Help and mentor analysts. Analysts should never worry about data access or robustness of our data infrastructure
Partner with teams across ZG to ingest, store and enrich data throughout the organization within the company-wide data lake and underlying data marts
Coordinate and complete migration of legacy databases to a shard, scalable data infrastructure
Identify new opportunities for data platforms in real estate. Work with product management and executives to set the vision, strategy and goals for big data
Work with the machine learning engineering team to build AI products at scale
Translate requirements to development plans and effectively execute on goals
Be technically deep and provide input on design and code. Be well respected by engineers within the team

108

Data Engineering Services Technical Lead-dhs Clearance Resume Examples & Samples

Provide input to project plans and schedules and complete and deliver tasks on-time
Conduct risk management activities to identify, monitor, and report on the status of issues/action items and work towards timely resolution/completion as requested
Create and deliver to Data Engineering weekly project and activity status reports
Develop an understanding of CBP business and its use and management of data to support delivery of Data Engineering artifacts, products and services
Engineer, integrate, implement, and maintain Data Engineering software tool(s) and associated documentation across the enterprise and with Cloud service providers
Research, propose and engineer methods to develop and implement new technologies for the areas of enterprise data architecture, modeling tools, metadata repositories, data governance, data stewardship and data sharing initiatives
Must be US Citizen and have the ability to obtain public trust clearance
5 years IT experience in an enterprise environment
3 years data engineering leadership experience
10 years of experience with database technologies
3 years’ experience with data modeling, data governance and data standardization
Current database certification
Expertise in multiple database platforms (IBM, MS, Oracle)
Experience leading a team of data engineers
Excellent SQL and relational DBMS knowledge, including data modeling and ERD
Research, define, interpret, and analyze complex, unstructured technical database problems and recommend solutions, and implement them

109

Data Engineering Manager Resume Examples & Samples

Supports the implementation of company programs to ensure the success of the Company
Accountable for delivery of development and operational efforts of the team by ensuring efforts are staffed, structured, budgeted and prioritized appropriately
Provides technical leadership to the team by introducing technical topics, sponsoring opportunities for innovation and recognizing technical excellence
Coaches and mentors cross functional team members in learning new skills and technologies
Leads and influences cross functional teams in exploratory efforts with new technologies and solutions that are relevant to the organization
Manages the technical team through the solution design process. Leverages and develops talent on the team through all phases of project efforts, including requirements gathering, assessment and backlog refinement
Shapes and guides systems approach, manages project initiation, technical design and development efforts
Ensures platform has appropriate design patterns and coding standards in place. Directs team toward secure, durable, scalable, flexible, and accessible solutions that proactively mitigate against production support issues
Cultivates a test-driven development culture. Ensures application development team establishes standards and requirements for automated test coverage per platform capabilities. Grows and improves platform offering and coverage for continuous build and integration testing
Plays a creative role in the Platform Stewardship portfolio. Responsible for ensuring the data engineering team has the vision, roadmap, and platform investments needed to take our business solutions to the next level
Identifies, influences, sells and prioritizes innovative platform opportunities, as well as technical debt, with regular reviews, creating programs and solutions to raise the level of the platform offering or remediate systemic operational problems
Shapes candidate solutions on the platform. This consultative part of the role explores the business capability portfolio to guide and direct solution options to ensure health of the platform
Partners with cross functional teams, such as Infrastructure, Security, Architecture, QA and key Development teams, to strengthen and elevate the platform from a technology perspective. Successfully sees designs and solutions through enterprise processes and governance to ensure compliant, secure and supportable solutions
Manages and invests in vendor relationships to understand and influence vendor product offerings and roadmaps, improve support engagement and gain insight into technology trends
Ensures team is influencing the platform development community by providing input, content and feedback on design patterns, coding standards, and shared libraries
Represents the development and platform space in the IT planning processes for new business capabilities under consideration, by providing application and platform expertise from the team. Tracks and communicates planned and in-flight business capability efforts, contributes and influences approach, scoping exercises and resource estimation
Defines and maintains processes, procedures, and expectations for team’s production support responsibilities
Ensures platform application and platform support documentation is in place
Identifies and leverages operational metrics, instrumentation and Key Performance Indicators (KPIs) to measure,
Monitor and manage the platform performance and uptime
Leads team through high severity operational incidents
8-10 years of professional industry experience with software development and operations
5 years of managing systems or application development projects of all sizes and complexities, including large systems
3-5 years of leading or managing small technical teams
5+ years of Big Data & Analytics application development and programming experience
2+ years of DevOps experience preferred

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