Data Engineer Resume Samples

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C Veum

Clemens

Veum

6808 Ignatius Camp

Houston

+1 (555) 418 2925

6808 Ignatius Camp

Houston

Phone

p +1 (555) 418 2925

Experience Experience

Houston, TX

Data Engineer

Houston, TX

Lemke Group

Houston, TX

Data Engineer

Develop, refine and scale data management and analytics procedures, systems, workflows, and best practices
Work with product owners to establish design of experiment and the measurement system for effectiveness of product improvements
Work with Project Management to provide timely estimates, updates & status
Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Work with the Product Management and Software teams to develop the features for the growing Amazon business
Perform development and operations duties, sometimes requiring support during off-work hours
Work with application developers and DBAs to diagnose and resolve query performance problems

present

Houston, TX

Data Engineer

Houston, TX

Kulas, Sipes and Kovacek

present

Houston, TX

Data Engineer

present

Works closely with project manager to develop work plan for Data Warehouse projects and keep the manager aware of any issues
Supporting the development group by providing API's and performing middle-tier application development
Providing analytical network support to improve quality and standard work results
Providing accurate estimates for project development and implementation. Work with management to meet those estimates
Develop framework, metrics and reporting to ensure progress can be measured, evaluated and continually improved
Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals and recommendations for use by management
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management

Education Education

Bachelor’s Degree in Computer Science

Johnson & Wales University

Bachelor’s Degree in Computer Science

Skills Skills

Great balance between offering quick solutions and writing maintainable code
Detail oriented, reliable with good organizational skills
A commitment to writing understandable, maintainable, and reusable software
Strong initiative, innovative thinking skills, and the ability to analyze details and adopt a big-picture view
Ability to communicate and discuss software components in simple, general terms with business partners and in great detail with software development engineers
Strong analytical skills with the ability to collect, organize and analyze large amounts of information with attention to detail and accuracy
The ability to develop reliable, maintainable, efficient code in most of SQL, Linux shell, Java and Python
Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is highly desired
Ability to write high quality, maintainable, and robust code, often in SQL, PL/SQL, or MDX
Strong data modelling skills and excellent knowledge of Oracle SQL, Linux

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Data Engineer Resume Examples & Samples

Design, build, scale, and evolve our current large scale systems and their next generation
Work with huge data sets and work with Machine Learning engineers on analyzing this data using algorithms and machine learning
Hack on Spotify backend software components
Assume ownership over certain components and continuously work to improve them
Run A/B tests to determine what makes our users the happiest
Be proactive and constantly pay attention to the scalability, performance and availability of our systems
Take an active interest in our features and our user happiness
Occasionally help out with recruitment

Data Engineer Resume Examples & Samples

Establishes privacy/security hierarchy and regulates access
Determines data retention and archiving policies
Develops training strategy
Liaison to technology team/ database manager for on-going metadata and change management processes
Analyze audience profiles, interests, and behavioral insights
Develop segmentations and other DCI determined propensities
Determine KPI requirements for multi-channel campaigns; assist with the measurement and campaign reporting
Manages requirements of data append/ rentals
Ad hoc analysis and project leads
Presentation build and communication of findings

Data Engineer Resume Examples & Samples

Responsible for data engineering functions including, but not limited to: data extract, transformation, loading, integration in support of enterprise data infrastructures – data warehouse, operational data stores and master data management
Responsible for data services and data movement infrastructures
Implements concepts of programming such as data structures, error handing, data manipulation and I/O processing. Implements database concepts and practices including definition and query language
Prepares project plans and uses flowcharts and data flow diagramming to create program design concepts
Creates detailed system design documentation
Analyzes requirements and architecture specifications to create detailed design
May provide technical advice and training and mentor other associates in a lead capacity
Six years of experience with SQL Server as a Database Platform
Six years of working experience with ETL concepts and building ETL solutions
Six years of experience with SSIS
Six years of Mid to Senior level experience in Oracle database concepts and Oracle-SQL
Six years of experience with ETL Tools such as ODI, Informatica
Proficient in Data warehousing concepts and up to date Data Integration patterns/technologies
Experience with prototyping & automating Data Integration Processes
Experience with Physical Performance Optimization of SQL Server Databases
Understanding of Master Data Management (MDM) principles is a plus
Good written and verbal skills are required
Bachelor’s Degree in a Technology Related Discipline is preferred

Data Engineer Resume Examples & Samples

Data modeling and relational database
LAMP Stack experience
Experience with MySQL in a large-scale, high-traffic environment
Complex SQL statement writing, Scripting language programming $
Experience with Ruby and Ruby on Rails

Data Engineer Resume Examples & Samples

Three years of experience with Oracle Data Integration-ODI
Two years of experience with ETL(Extract Transform Load)
Two years of experience with PL-SQL
Two years of experience with SSIS

Data Engineer Resume Examples & Samples

Build and execute analytics and reporting across platforms to identify user behavior and analyze trends, patterns, and shifts in user behavior, both independently and in collaboration with product managers and data analytics resources
Develop best practices for configuring analytics technology, for analyzing user behavior on multiple platforms, and for collecting and interpreting data from multiple sources
Develop experimental data models/ designs to help answer unforeseen questions that will influence decision-making in a rapidly changing business environment
Communicate technical results to a wide variety of audiences
Bachelor's degree in a quantitative field (e.g., Mathematical, Statistics etc.)
Strong background in statistics
Experience creating models/analysis using machine learning techniques like clustering, association rules, sequential pattern matching etc
Experience in data integration and modeling is required
3 plus years of experience in digital analytics with a solid understanding of interactive marketing channels (e.g., search, social listening, paid and earned media, website, mobile apps, email marketing, mobile messaging)
Proficient in Omniture site catalyst reporting, Google Analytics, Flurry and social media platforms in addition to Nielsen data etc
Demonstrated ability to query data sources directly (SQL and other query languages)
Proven ability to use R (or another statistical package)
Expertise in crafting presentations for specific or broad audiences
Comfortable working both as part of a team, and independently
Experience working with big data technologies is a plus
Experience in text mining is a plus

Data Engineer Resume Examples & Samples

Suppose, on Sunday night, Felix Hernandez just pitched his second perfect game, becoming the first pitcher to ever achieve that feat. Our internal teams are going to be very interested in exactly how large the spike in interest was surrounding this historic event
On Monday, you'll be developing a process to ingest Tweets relating to perfect games using a scripting language like Ruby or Python, so that our social team can feature the most exciting trending topics of conversation on Twitter
On Tuesday, you'll be developing a data visualization for our internal reporting portal (called Fanalytics) using Javascript along with a charting library like Highcharts or D3.js that illustrates the spike in Tweets along with the most common topics of discussion
On Wednesday, you'll be reviewing our ticket sales data using SQL and possibly a reporting tool like Business Objects to help our Ticketing department understand the spike in revenue
On Thursday, you'll be building out a new integration with YouTube's API to determine how many users watched replays of the last out on YouTube, and compare that with the number of views we had on MLB.tv and our Video on Demand pages of our site
On Friday, you'll be building out a new internal tool using a web framework like Rails to allow our editorial team to quickly search for details on this event

Data Engineer Resume Examples & Samples

Using homegrown ETL framework as well as off-the-shelf ETL tools design, develop and implement data integration processes
Interface closely with data infrastructure and engineering teams to build and extend cross platform ETL and reports generation framework
Support end users on ad hoc data usage and be a subject matter expert on functional side of the business

Data Engineer Resume Examples & Samples

2+ years experience with data warehouse technical architectures and ETL (with technologies like Hadoop, Scalding or Spark)
Strong understanding of NoSQL database design, caching and scalability (with technologies like HBase, DynamoDB or MongoDB)
Experience building scalable reporting/analytics tools
Familiarity programming with and building RESTful APIs
Proficient in Java or Scala with solid competencies in software design practices
Bachelors Degree or higher in an engineering or technical field (CS degree a plus!)

Data Engineer Resume Examples & Samples

Design and maintain well-structured relational database schemas
Create automated ETL pipelines for a variety of raw manufacturing data sources
Research and develop new data storage architectures for growing data volumes
Maintain excellent documentation for understanding and accessing data storage
Analyze existing in-process data to inform process development
Collaborate daily with other members of Manufacturing Engineering
Proficiency in SQL and relational database design
Proficiency in engineering investigation
Proficiency in data ETL workflows with programming/scripting languages such as Python, C, Ruby
Proficiency creating process documentation
Experience in the factory environment
Experience with multiple data storage architecture paradigms
Able to work under pressure while managing competing demands and tight deadlines
Exemplary verbal and written communication skills
Exemplary written communication skills
Well organized with meticulous attention to detail
Mastery of Word, Excel, PowerPoint, Visio
MS in engineering, mathematics, or equivalent
4+ years pertinent experience

Data Engineer Resume Examples & Samples

New Features– take user stories, deconstruct theminto tasks, and execute upon those tasks in 1-week sprints, that fulfillbusiness asks for new functionality
Technical Debt reduction – The Data Team has a sense of prideand ownership in what we do. To maintain that, we always seek to undo old hacksor shortcuts, improve the systems we have, and implement better ways of doingthings, without requiring that the Business ask us to do so
Data Analysis & Munging– Data is a massive part of what wedo every day. You’ll need to be able to manipulate data, crunch it, and slingit around the place with ease
System Health- We have large production systemsthat have to keep running. We’re always working to improve monitoring, up-time,performance, and scalability
Having Brilliant ideas & helpingthe group execute on them – The team is always looking to be ahead of the customer. Weare always working on our own projects too, dreamed up inside the team, toimprove the product

Data Engineer Resume Examples & Samples

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, writing applications, etc.)
Work closely with our engineering team to integrate your amazing innovations and algorithms into our production systems
Process unstructured data into a form suitable for analysis, utilizing custom applications and modern ETL/ELT
Support business decisions with ad hoc analysis as needed
We use AWS extensively, so experience with EMR and other Amazon Web services (Redshift, S3, AWS SDK) will help you hit the ground running
Create business intelligence objects utilizing the SQL Server Business Intelligence stack (SSIS packages, SSRS reports, SSAS cubes)
Other duties as assigned
Strong knowledge of and experience with classic and new/emerging business intelligence methodologies
Database and data warehousing experience, both in RDBMS and NoSQL environments. Knowledge in MS SQL Server, PostgreSQL, Redshift, Couchbase is a plus
Programming experience, ideally in Python or Java, but we are open to other experience if you’re willing to learn the languages we use
Experience developing software against 3rd party APIs / RESTful web services, data streams/firehoses and working with vendors to identify and correct issues and drive enhancements
Some knowledge in data mining, machine learning, natural language processing, or information retrieval
Experience processing large amounts of structured and unstructured data. MapReduce, HIVE, PIG experience is a plus
Strong analytical ability and debugging skills
Experience managing a GNU/Linux environment for development, including package management and basic system administration
You can effortlessly write SQL, even the gnarly queries, and are comfortable interacting with relational databases
The ability to work on and manage multiple concurrent projects for multiple stakeholders is essential
You thrive when given broad objectives with minimal supervision, enjoy a fast paced environment and have excellent written and verbal communications skills
Ability to work and talk directly with the end business users, as well as gather requirements, and execute on said requirement accordingly
Able to exercise discretion and keep strictest levels of confidentiality
Some knowledge building end user visualizations and reports, Tableau, SSRS, or similar reporting software experience is a plus

Data Engineer Resume Examples & Samples

Designs and builds various data solutions
Cleans, transforms and aggregates unorganised data into databases
Develop, maintain, test and evaluate bag data solutions
Highly experienced in SQL and NoSQL technologies (e.g. Spark)
Capability to architect highly scalable systems
Proficient in designing efficient and robust ETL workflows
Programming knowledge to implement data solutions (e.g. JavaScript, PHP, Go)

Data Engineer Resume Examples & Samples

Six years of xperience with ETL Tools such as ODI, Informatica or SSIS
Six years of experience with Oracle as a Database Platform
Six years of xperience with Physical Performance Optimization of Oracle
Databases
Experience with SQL Server is a plus

Data Engineer Resume Examples & Samples

New Features– take user stories, deconstruct them into tasks, and execute upon those tasks in 2-week sprints, that fulfill business asks for new functionality
Technical Debt reduction – The Search Data Team has a sense of pride and ownership in what we do. To maintain that, we always seek to undo old hacks or shortcuts, improve the systems we have, and implement better ways of doing things, without requiring that the Business ask us to do so
Data Analysis & Munging– Data is a massive part of what we do every day. You’ll need to be able to manipulate data, crunch it, and sling it around the place with ease
System Health- We have large production systems that have to keep running. We’re always working to improve monitoring, up-time, performance, and scalability
Having Brilliant ideas & helping the group execute on them – The Search Team is always looking to be ahead of the customer. We are always working on our own projects too, dreamed up inside the team, to improve the product

Data Engineer Resume Examples & Samples

Extensive experience in JavaScript and other client-side technologies
Excellent knowledge of data structures, algorithms and design patterns
Experience developing dashboards and generating insights
Knowledge of working with content management systems
Ability to work independently and collaboratively within a team
Experience in machine learning is a plus
Experience with distributed data processing system, such as Hadoop/MapReduce, Hive, Pig and SQL/NoSQL databases is a plus
Work with business and technology partners to provide reporting capabilities for all our internal customers
Design and develop SQL scripts and tools to serve specialized analytics requests
Work with data scientists and analysts to develop innovative techniques for capturing event driven data to enable real-time decision-making and response
Institute continuous integration methodologies as a part of solution design

Data Engineer Resume Examples & Samples

Work on all phases of projects from design to implementation including specifications, development, testing, rollout, documentation and, if applicable, turnover to the Maintenance Engineering and Operations Team
Work within state of the art engineering practices (i.e. SCRUM, unit testing, design review, code reviews, continuous integration, etc.)
Presents status, plan and issues/risks at daily stand-ups
Mitigates risk for the project, team and company
Ensures knowledge transfer to team members within and outside of immediate group
Iteratively improves projects with agile delivery practices
1-3+ years of full software development lifecycle experience
1-3+ years of experience developing web applications
1-3+ years of Object-Oriented analysis, design and development experience
1-3+ years of experience in a data oriented role
Experience with Java 1.7+ Experience
Experience working with Linux
Agile experience using Scrum
Experience with open source technologies
Experience with unit testing & test driven development (TDD)
Experience with the Hadoop batch processing framework and map reduce design patterns
Experience with Apache Spark including Spark Streaming
Experience with Enterprise Integration Patterns and Apache Camel
Experience with social, mobile, cloud/SaaS integrations
API level experience with Youtube, Twitter and Facebook
Experience creating robust and reliable data pipelines
Experience with Apache Hive and/or Apache Crunch
Experience with the uses of various NoSQL solutions including hBase, MongoDB, Neo4j
Experience with a visualization tools such as D3.js, Tableau, MicroStrategy
Experience with ETL tools such as Pentaho Kettle, Informatica, Talend, OpenRefine
Exposure to security, PII and PCI compliance issues
Exposure to R, Python, Julia, Haskell

Data Engineer Resume Examples & Samples

Serve as a dedicated resource to address the needs of the IHM Data/Programmatic team, leveraging existing IHR data infrastructure to fulfill all data-related requests related and where necessary, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes
Develop ETL processes in Python to send large data sets into Hadoop and bring summarized results back into the SQL data warehouse
Work across multiple teams in a highly visible role and own the solution end-to-end
Architecting better quicker solutions than our existing processes
Collaborate with existing IHR Data Platform team to update existing IHR data infrastructure (data model, hardware, cloud services, etc) to improve efficiency and automation
.Ability to write well-abstracted, reusable code components
A self-starter who can find and fix issues without direction
Willing and interested to work in new areas and across multiple platforms such as MSSQL, Postgresql, Hadoop, Linux, etc
Ability to analyze data to spot anomalies, trends and correlate similar data sets
Ability to chase data issues across a large and complex system by working along-side multiple departments and systems

Data Engineer Resume Examples & Samples

Design, build, and launch new data models in production
Support existing processes and tools
Triage data issues to a timely resolution
Teach and mentor other engineers
Expert level fluency in Java, Scala, or Python
Experience with Hadoop, Hive, HDFS
Experience with data stream processing and systems like Storm or Spark
Knowledge of MapReduce, Redshift, Dremel, Druid or Pinot are a bonus
Experience with using and/or contributing to open source technology
Eager to learn about new technologies and implementing these ideas in a production environment
Ability to work both individually and across teams in a fast-paced environment

Data Engineer Resume Examples & Samples

Program with industry-standard tools for large-scale data scanning such as Splunk
Write complex queries to analyze performance data, and trace lineage of how data travels across system components
Utilize reporting and anlytic tools to gain insight into data, identify trends across complex data models, and summarize this data for decision making
Build utilities and interfaces to vendor/open source products to ingest data into analytic data stores
Create solutions to combine data from multiple sources
Strong SQL query and stored procedure development experience
3 -5 years of SQL / ETL and/or database administration, including data architecture and data management
Experience with relational databases (DB2 preferred) and reporting
Experience with analyzing business MIS requirements
Knowledge of full project lifecycle; ability to communicate requirements to clients and developers
Experience with report design and testing
Ab Initio experience a plus

Data Engineer Resume Examples & Samples

Creating Hive views, Pig and Python scripts and Scala routines that package data from the EDL into consumable formats and structures suitable for time series analysis, machine learning or clustering
Following Scotiabank’s data governance and information security policies when packaging and using data
Teamwork by collaborating effectively with the other Hadoop Centre of Excellence (COE) teams
Two years of hands-on working experience with Hadoop technologies including Python, Hive SQL, and Scala
Excellent communication skills, verbal & written

Data Engineer Resume Examples & Samples

Build infrastructure and implement maintenance strategy for internal datasets
Work with relevant stakeholders to deliver appropriate Business Intelligence (BI), data warehousing, reporting and analytical infrastructure required to support management teams and analysts
Prioritize and communicate user needs, make recommendations and drive implementation for product or process changes
Work with large data sets, automate data extraction, build monitoring/reporting dashboards and high value, automated BI solutions (data warehousing and visualization)
Design, develop and establish Key Performance Indicators to monitor the health of database assets and the performance of internal operations, providing analysis and strategic insights to drive growth and performance
BS degree in Computer Science or related technical field, or equivalent practical experience
Programming experience with Python, C/C++, Java, distributed systems
Data extraction experience using SQL, ETL and Linux experience
Experience working with systems processing event based logs, user logs, etc
Master's degree in Computer Science or related technical field
Experience with MapReduce, Hadoop or NoSQL technologies
Strong understanding of BI technologies and their application including database warehousing and dashboarding experience
Extensive use of visualization tools (e.g. Tableau, QlikView, and MicroStrategy)
A proven record of managing project plans and collaborating across geographies and functions
Passion for Maps, Geospatial Analysis and Mapping

Data Engineer Resume Examples & Samples

Expertise in building and maintaining reliable ETL jobs
Proven ability to work with varied forms of data infrastructure, including relational databases (e.g. SQL), Mapreduce/hadoop, and column store (e.g. Vertica/Redshift)
Expert knowledge of SQL/Hive, Pig/Cascading a plus
Work closely with data scientists and engineers to design and maintain scalable data models and pipelines
Develop and maintain cross-platform ETL processes
Help data scientists optimize productionized Pig and Hive queries

Data Engineer Resume Examples & Samples

Build and integrate data management systems of various types
Deliver software with a focus on large scale processing, data security and high performance
Build, test and deliver software continuously to critical production systems
Build automation to manage and monitor the company's internal Data PaaS
Write code in Java, SQL, Scala
B.S. or higher in Computer Science
Minimum 8yrs of experience
Experience with large-scale data processing (e.g. Hadoop, HBase, Hive, Spark, Kafka)
Solid understanding of systems software and related technology challenges including performance, high availability and parallel processing
Disciplined approach to writing tests and quality assurance
Proficiency with the Java language and JVM environment
Proficiency in a scripting language (Python preferred)
Proficiency with Git

Data Engineer Resume Examples & Samples

Architect & develop systems and processes to collect, transform, store and enable analysis of structured and unstructured data
Ensure data quality and integrity
Automate data collection from 20+ internal and external sources
React instantaneously to any incidents and promptly fulfill new data requests
Research and evaluate best data processing technologies & solutions on the market
Collaborate with Marketing, Finance, Business Development, Product & other teams to help them uncover the insights from the data

Data Engineer Resume Examples & Samples

Build and execute analytics and reporting across platforms to identify user behaviorand analyze trends, patterns, and shifts in user behavior, both independently and in collaboration with product managers and data analytics resources
Bachelor's degree in aquantitative field (e.g., Mathematical, Statistics etc.)
Experience creatingmodels/analysis using machine learning techniques like clustering, associationrules, sequential pattern matching etc
Experience in data integrationand modeling is required
3 plus years of experience indigital analytics with a solid understanding of interactive marketing channels(e.g., search, social listening, paid and earned media, website, mobile apps,email marketing, mobile messaging)
Proficient in Omniture sitecatalyst reporting, Google Analytics, Flurry and social media platforms inaddition to Nielsen data etc
Demonstrated ability to querydata sources directly (SQL and other query languages)
Proven ability to use R (oranother statistical package)
Expertise in craftingpresentations for specific or broad audiences
Comfortable working both as partof a team, and independently
Experience working with big datatechnologies is a plus
Experience in text mining is aplus

Data Engineer Resume Examples & Samples

Work closely with business analysts and engineers to design and maintain scalable data models and pipelines
Design, build and launch new data models and data extraction, transformation and loading processes for critical business metrics and data systems
Work with data infrastructure to triage infrastructure issues and drive resolution
BS/MS in Computer Science, Statistics, Mathematics, or other related field
5 years experience with in the data warehouse space, ETL and with scripting languages, Python preferred
Proven ability to work with varied forms of data infrastructure, including relational databases (e.g., SQL), MapReduce/Hadoop, and column store (e.g., Vertica/Redshift)
Collaboration and communication
Strong business judgment. Experience to take ambiguous business problems and translate them into the data needed to answer it

Data Engineer Resume Examples & Samples

Design and build scalable data pipelines to ingest, translate, and analyze large sets of data
Expose data points for consumption by other platforms and teams; and
Partner with data scientists to apply large scale data mining and machine learning techniques
Design, build, and debug Hadoop, Hive, and Spark based data pipelines
Design and implement large scale distributed solutions in the cloud
Process real-time streaming data using Storm, Logstash, and Elasticsearch
Create APIs to expose collected and analyzed data to partners within Dow Jones
Build and leverage visualization tools, like Kibana, to provide insights into data
Create new visualizations using common open-source libraries like D3
Participate in exploratory data analysis and partner with data scientists to provide stakeholders an in depth understanding of the data
Automate deployment and management of a cloud infrastructure using Chef and Python
Bachelor’s degree in Computer Science or equivalent work experience
Extensive experience in Java and Python
Experience with running large Hadoop jobs at scale
Extensive experience in SQL
Experience with Javascript
Excellent problem solver and communicator
Self-motivated and ability to take initiative with creative problem solving
Understanding of software craftsmanship qualities and principles
Experience with Scala a plus
LI-JA1

Data Engineer Resume Examples & Samples

Network data construction and application of Network Analytics to complex business issues, involving relationships among both entities and individuals, to better understand transaction
Degree in Computer Science or related field
Strong background in Python. Will consider experienced Java/C++ developers willing to learn Python 3
Experience with UNIX/LINUX operating systems
Familiarity with Hadoop ecosystem is a plus
Familiarity with Graph Theory, HITS, PageRank, SVD is a plus
Quick learner, inquisitive by nature

Data Engineer Resume Examples & Samples

Assessing business rules/requirements
Performing logical and physical data modeling
Implementing physical database objects, stored procedure, managing data, building/extending toolsets
Develop optimized stored procedures to solve complex problems
Work with other disciplines (Program Management, Technical Operations, other Software Development Engineers, and various business owners) in implementation of analytical and technical solutions
Review project plans, development and test specifications Communicate implementation limitations and data-driven solutions with all levels of project team and management
Develop components of databases, data schema, data storage, data queries, data transformations, and data warehousing applications
Drive technical direction for mid-large sized projects
Assess business rules and collaborate internally, and with business owners to understand technical requirements and implement analytical and technical solutions
Provide alternative solutions to a given problem
Contribute to advancing the team’s design methodology and quality programming practices
Effectively resolve problems and roadblocks as they occur; and consistently follow through on details and drive issues to closure
Write documentation and communicate database and solution design
Collaborate with program management and operational team
Participate in, and provides input to, requirements definition
Learn and implement advance technology solutions in big data platform
#GCSO

Data Engineer Resume Examples & Samples

Participate in the definition and the development of the Fandango production data platform
Work with internal stakeholders to create and scope the requirements of the data platform
Design and implement highly scalable, reliable, extensive and maintainable code frameworks that support large-scale data platforms
Follow best engineering practices such as architectural design, unit and regression testing, test-driven development, and continuous integration frameworks
Work with the infrastructure team to ensure that all the required monitoring, exception handling and fault tolerance is in place for a production quality data platform
2+ years as a professional engineer with experience in production scale platforms
Industry experience with at least one development language (Python, Scala, Java)
Experience with distributed data architectures and their eco-systems (Hadoop, Hive, Pig, Spark, EMR, etc.)
Experience in the development of ETL processes and frameworks for large-scale, complex datasets
Experience with SQL and Relational & Multi-dimensional Databases. Knowledge of data warehousing concepts
Industry experience working on distributed, scalable, service-oriented platforms. Proven ability to deliver high quality, production ready code. Experience with continuous integration technologies is a plus
Strong understanding of the agile software development life cycle
Knowledge of Amazon Web Services (AWS) and Redshift in an enterprise environment is a plus
Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering
Bachelor’s degree in computer science, a quantitative concentration or equivalent
Willingness and self-initiative to dig into the technical concepts related to the data platform
Proactive in improving development, testing, continuous integration, and production deployment processes
Self-initiative to stay on top of the latest innovations in data technology to inform platform features and functionality

Data Engineer Resume Examples & Samples

Strong critical thinking, problem solving, programming skills and computer science knowledge
Practical, hands-on experience with data platforms and tools
Experience with algorithms; understand general machine learning / data mining concepts
Data instrumentation / capture / tracking experience is a plus

Data Engineer Resume Examples & Samples

Develop and maintain our Big Data pipeline that transfers and processes several terabytes of data using Apache Spark, Python, Apache Kafka, Hive and Impala
Design/Build reports and dashboards using Tableau
Perform ad hoc data analysis, data processing and data visualization using SQL and other scripts
Work directly with product stakeholders at the company to help them solve their most difficult problems
Excellent Programming skills using Python, Scala, Perl, Shell, etc
Familiarity with SQL and NoSQL technologies
Experience with Production Hadoop ecosystem
Proficiency with relational databases and SQL
Experience with Tableau or other reporting tools
Well versed in software development principles and processes including: analysis, design and continuous delivery
Good communication skills that can deal with diverse types of people from Data Science, Marketing, Finance, Product Management and QA groups

Data Engineer Resume Examples & Samples

2+ years of Java and/or Python development experience is necessary
2+ years of SQL (Oracle, Vertica, Hive, etc) experience is required
2+ years of LAMP stack development experience is necessary
5+ years of experience with dimensional data modeling & schema design in Data Warehouses
Unmistakable passion for elegant and intuitive user interfaces
Experience working with either a Map Reduce or a MPP system on any size/scale
Ability to write well-abstracted, reusable code components

Data Engineer Resume Examples & Samples

Program in SQL to support business enhancements to the WebServices middle tier
Write complex SQL queries to provide critical business analysis and reporting
Suggest and implement database performance and capacity enhancements
Participate in build of strategic data management platform by developing semantic models, tracing complex data lineage and loading data into metadata repository
Program with industry-standard tools for large-scale data mining and scanning such as Splunk
Develop and use reporting and analytic tools to gain insight into complex data
Build interfaces to vendor/open source products to ingest data into analytic data stores
Code ETL solutions to combine data from multiple sources
Expert level SQL query and stored procedure development experience (DB2 preferred)
5+ years SQL programming and implementing relational database models (DB2 preferred)
At least 3 years ETL experience
Experience with data architecture, data management and/or database administration a plus
Experience with vendor reporting products such Ab Initio, Cognos is useful
Knowledge of NoSQL databases a plus

Data Engineer Resume Examples & Samples

BS, or MS in Computer Science or related technical discipline (or equivalent)
8+ years’ work experience in software development area with at least 5+ years’ experience in Java programming
Excellent understanding of computer science fundamentals, data structures, and algorithms
Solid DB skills, data mining expertise are preferred
Experience of Hadoop, Map/Reduce, Kafka, Storm,etc is preferred
Working Experience in Multi-national Company is a plus

Data Engineer Resume Examples & Samples

Work as part of team on implementing complex data projects with a focus on collecting, parsing, analyzing and visualizing large sets of data to turn information into insights across multiple platforms
Design, Implement and support Data Models, ETLs that provide structured and timely access to large datasets
Build fault tolerant, self-healing, adaptive and highly accurate ETL platforms
Develop and maintain programs on source systems, ETL applications, data cleansing functions, system management functions including load automation, data acquisition functions and others
Design and develop the data model (s) for the DW, marts or NoSQL solutions, which will be vetted by the data solutions team and or guided by the Senior Data Solutions Architect
Responsible for data administration of warehouse solutions
Take ownership of the Informatica warehouse solutions and provide production support
Document processes and standard operating procedures for processes
Generate reports using Business Objects, Tableau or Pentaho
Five years experience building data warehouse solutions and working knowledge of ETL
Five years experience building ETL solutions of Informatica and in depth knowledge of debugging and optimizing workflows
Knowledge of Start schema designs
Two years work experience with scripting languages such as Java, Python, Linux
Five years work experience with Oracle database and expertise in creating Oracle Stored procedures and functions
Five years experience working with complex SQL
Experience in creating Unix Shell Scripts
Five years experience with object-oriented design, coding and testing patterns as well as experience in engineering open source software platforms and large-scale data infrastructures
Five years experience performing analysis on complex data structures
Bachelor’s degree or Master’s in information Technology or relevant discipline
To enjoy being challenged and to solve complex problems on a daily basis
To have excellent oral and written communication skills
To be proficient in designing efficient and robust ETL workflows and expertise in Informatica and Pentaho/Kettle
Working experience with Amazon Cloud, BigQuery or Hortonworks Hadoop technologies
Strong working experience with Tableau
To be able to work in teams and collaborate with others to clarify requirements
Strong analytic and problem solving capabilities
Ability to design and implement data warehouse solutions and big data solutions
Working knowledge of MPP Databases such as Redshift, Hive, BigQuery and other Big Data Technologies
Willing to expand technological skill set to Big Data Technologies such as Hive, Pig, MapReduce
Knowledge of Java and Python
Experience working in digital media
Capability to handle sensitive and complex issues with discretion and good judgment
A passion for technology. We are looking for someone who is keen on leveraging their existing skills while applying new approaches to the Data Solutions

Data Engineer Resume Examples & Samples

Create and maintain systems to load and transform very large data sets from digital media retailers (iTunes, Spotify, YouTube, etc) as well as social media sources
Work with a cross-functional team to create data-driven insights and reports for business stakeholders
Work with the Software Engineering team to create customer-facing analytics tools and visualizations
Deliver big data analytics to end users
Experience with AWS ecosystem. Some preferred services are RDS, SQS, SWF
Proven experience with ETL and MapReduce (SWF or EMR)
Expertise with distributed data stores (Redshift)
Familiarity with noSQL technologies (mongoDB, DynamoDB)
Proficient in scripting language of choice. Python preferred, Ruby and PHP a plus
Highly proficient in SQL. Experience with MySQL a strong plus
Deep understanding of data structures and schema design
Detail-oriented, proactive problem solving skills

Data Engineer Resume Examples & Samples

Hands-on Java experience; algorithms and scalability
Proficiency in object-oriented analysis and design
Superior knowledge of database technology, schema design and query optimization techniques
J2EE/Spring experience with RESTful services implementation
Experience with Continuous Integration/Delivery process; and Comfortable using Linux command line tools

Data Engineer Resume Examples & Samples

Build and own core infrastructure and abstractions that handle data retrieval, storage, and processing to rapidly analyze data and build applications that use our data
Identify problems across our data stack, and actively work with the team to design, prioritize, and build solutions that address them -- unified log management, schema evolution, scaling to higher volumes, monitoring, high availability are just a few
Maintain an extremely high standard of code quality, system reliability, and performance
Help prioritize and communicate priorities with your manager and team. Marry technical priorities with business goals, championing quality and reliability
Participate in and influence engineering process, from sprint planning (we do weekly sprints, quarterly plannings) to code reviews and deployment

Data Engineer Resume Examples & Samples

Design and build ETL (extract, transform, load) processes to ingest, clean, and process client data
Gather client technical requirements and collaborate with cross functional team to understand full scope of True Fit client projects
Provide technical guidance to customers and implementation partners
Create reports to provide insight (that you define) into our Big Data
Automate processing of customer data feeds
Work with engineering and product teams to design and build operationally efficient ETL processes
Provide updates to Project Managers on a regular basis
Work with our Support Team to investigate data related issues
2+ years as Software Engineer, Data Analyst or Technical Consultant
Experience with ETL principles and tools
Exceptional relational database skills; Postgres or Oracle preferred
Exceptional skills in pattern-matching and data analysis
Strong Linux knowledge
Sound scripting skills in at least one of the following: Shell, Python, Perl, Ruby, etc
Excellent verbal and written communication, and customer facing skills
Solid understanding of Web Application technologies including JavaScript, HTML, and CSS
Solid understanding of networking technologies including HTTP, SSL, FTP, load balancing, and firewalls
Undergraduate degree in a quantitative field (Computer Science and/or Engineering) or applicable experience

Data Engineer Resume Examples & Samples

Play a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data Pipelines
Deliver high quality data engineering components/services that are robust and scalable
Collaborate and communicate effectively with other team members to deliver strong results
Methodical approach to areas such as Data Modeling, Data Quality
Guide others in the team on architecture, design and quality engineering practices
Leverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layers
Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale

Data Engineer Resume Examples & Samples

Excellent understanding of data structures, algorithms and distributed systems
2+ years of experience in developing highly distributed systems by leveraging cloud and open source technologies
Good understanding of big data & cloud technologies - AWS, MapReduce/EMR, Hadoop, Hive, Pig
5+ years experience and understanding with some of the traditional, NoSQL, columnar databases such as Oracle, MySQL, PostgreSQL, DynamoDB, Redshift, Vertica
Knowledge and experience in designing and developing RESTful services
Exposure to messaging systems such as Kinesis, Kafka is preferred
Experience in partnering with architects, engineers in data environments that are complex, enterprise wide, multi-tenant, and host large scale of data
Great team player with excellent written & verbal communication skills
Masters with 4+ years of experience or Bachelors with 6+ years of experience in Computer Science, EE or equivalent

Data Engineer Resume Examples & Samples

Collaborate with researchers, data analysts, product managers, application engineers and the rest of the Research & Analytics team to understand the data we have and how we want to make sense of it
Design, develop, deploy, and manage relational and NoSQL data warehouse technology to support in-line and post-hoc analyses
Design, develop, deploy, and manage a reliable and scalable data analysis pipeline, using technologies including AWS, open-source tooling, and custom-built frameworks
Select and/or develop and deploy data visualization and reporting tools for internal users
Interface with tech teams to help guide development of analytics data gathering
Identify and track down bugs/errors in data gathering
BA in Computer Science, or related field
3+ years’ experience in data-oriented engineering
Proven experience in the use of technical tools to collect, clean, and structure data sets from real-life data
Proven SQL and scripting (e.g. Python) skills
Experience with column-oriented data store (e.g. Vertica, Redshift)
Comfort working with large data sets
Experience with AWS, EC2, Linux command-line
Familiarity with R
Master’s degree in mathematical or scientific field, or computer science
Experience with big data technologies such as Spark, Hadoop, HBase, and Impala
Proven experience deriving useful insights from high-volume clickstream data
Experience in the field of education
Expertise in statistical software packages such as MPlus, Stata, Matlab, R, etc
Experience with Business Intelligence tools

Data Engineer Resume Examples & Samples

Actively drive the Big Data technology roadmap for the adidas Group
Specify and implement a data governance concept covering data protection, IT security, data access control, data quality control and data lifecycle management
A degree in Computer Science, Mathematics, Engineering or other relevant field
Experience with object oriented programming languages (Scala, Java, Python, etc.)
Experience with data modeling in an analytical context
Good communication in English (both written and verbal)

Data Engineer Resume Examples & Samples

Be a data conductor – Design, implement, and improve data pipelines throughout our data platform from data ingestion through the endpoints used to make data actionable
0 - 2 years of related experience or it's equivalent
First-hand experience – educational experience focusing on software engineering using Java
Team player – 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 sports
Have a data toolbox – Familiar with technologies relevant to the data and integration space including Hadoop, Redshift, Python, DI/DQ tools (like Talend), and MDM tools (such as Falcon)
Experience with Apache Kafka, Spark, Hadoop
BS or BA in Computer Science, engineering, mechanical or mechatronics engineering or closely related field or its equivalent

Data Engineer Resume Examples & Samples

Experience in design and development of ETL pipelines
Experience in relational databases and SQL
Experience in Data Modeling, Conformed-Dimensions while working with variety of data-sources
Familiarity with modern web application development, based in Ruby, Python, Java, Node.js, or the likes
Strong Computer Science background and analytical skills
Education – Bachelor's in Computer Science and 3+ years of industry experience
Experience with scripting languages (Perl, Python, Ruby)
Experience with Predictive Modeling, Forecasting
Experience building REST APIs

Data Engineer Resume Examples & Samples

B.Sc., M.Sc., or Ph.D. in a quantitative discipline
Strong background in algorithms, mathematics and/or statistics
Programming skills: SQL, Python, R, C++ or Java
Interpersonal and communication skills
Detailed oriented attitude
Big Data experience
Programming skills: KDB/Q, Angular JS
Relevant training in Computer Science, Mathematics and/or Statistics
Expertise in any of: machine learning, Bayesian inference, time series analysis, forecasting, optimization

Data Engineer Resume Examples & Samples

Interested in blurring the line between Software Engineering and Data Science
Experience in geospatial processing at scale
Experience with file systems, cloud architectures, and performance tuning
Solid foundation in distributed systems concepts
Expert knowledge developing and debugging in Python, Java and/or Scala on Linux and comfortable with working at a command line
You know how to balance production grade (low-level) code versus speed (high-level) within a JVM or functional programming paradigm as needed
Distributed Systems
Functional Programming
Cloud-Computing Architecture
Mastery in a JVM language
Apache Spark (Java, Scala or Python)
Hadoop

Data Engineer Resume Examples & Samples

Designing and developing code, scripts, and data pipelines that leverage structured and unstructured data integrated from multiple sources
Participating in requirements and design workshops with our clients
Developing project deliverable documentation
Experience programming in Java, Python, SQL
Background that includes mathematics, statistics, machine learning, and data mining
Strong analytical skills and creative problem solving skills
Experience building complex and non-interactive systems (batch, distributed, and so on)
Advanced understanding of Hadoop framework and data structures
Strong understanding of algorithms and advanced data structures
Ability to apply data analysis and machine learning techniques to solve a business problem that has a real impact to customers
Outstanding interpersonal, communication and customer relationship skills
Feeling comfortable working in Agile environment
Troubleshooting skills

Data Engineer Resume Examples & Samples

At least 5 years of experience in data design modeling, ETL, Microsoft/TSQL and Microsoft Sql Server Integration experience
Experienced in development of T-SQL and PL-SQL scripts
Skills in OLTP/OLAP design and development
Understanding of multi-dimensional cubes and reports
Skills in performance tuning and query optimization
Experienced in ETL processes leveraging CDC/CT technologies
Ability to design and develop reports using SSRS/Crystal Report/Jasper/Microstrategy
Ideal candidate will have a minimum of 5 year ETL tool (SSIS, Informatica, Datastage, Talend) experience
Knowledge and experiences in developing and deploying ETL processes to transfer data from various sources and combine them into a unified data store
Ability to learn new technologies and apply them to production solutions
Ability to provide timely and accurate data solutions for the business
AWS/Rackspace cloud based data solutions a plus

Data Engineer Resume Examples & Samples

Write and optimize scripts to transform and aggregate data fast
Build automation systems to help us operate more quickly and cost-effectively
Develop processes and techniques for practicing good “data hygiene” to ensure our data is always up-to-date, accurate, and stored efficiently
Proficient in SQL
Experience with *nix CLI data tools (grep/sed/awk/BASH, etc)
Basic Proficiency in Python
Source Code Management (pref. Git

Data Engineer Resume Examples & Samples

Software Team Leader: Develop and maintain highly scalable, high performance, multithreaded, service-oriented software modules
Gather data from various input sources about users, intents and context in which the users are in to develop smart algorithms and software, which include content-based search algorithms, collaborative filtering, behavioral, clustering and personalization algorithms for finding correlations relevant to each user
Work with QA and support teams to ensure product quality for the end customer
Analyze large data sets and understand user needs and intent in the context of (time, location, etc…)
Assist with product and process innovation and automation
Drive successful prototypes toward product maturity
Participate in preparing business cases, requirements documents and product roadmaps for new concepts
Be an authoritative source of product-related information for the data strategy products including product definition, and business policies
Lead, attend, and participate in meetings and committees as required
5-7 years of experience
College Degree in Computer Science preferred
Machine learning, clustering, classification, predictive and statistical algorithms, ideally for a Recommender System/Content Recommendations
Designed and implemented an efficient pattern matching engine
Experience in writing algorithms and software for mobile applications
Natural Language Processing
Java, Hadoop, Cassandra, C++, R, Python, SQL, Perl, Octave
Strong project management experience
Good communication skills with ability to facilitate conversations with business stakeholders in project definition, business requirements definition and functional design sessions
Ability to lead shared resources and vendors to facilitate the completion of data strategy product solutions

Data Engineer Resume Examples & Samples

1) Contribute to the development of Scotiabank Enterprise Data Lake (EDL) on Hortonworks Hadoop Platform
Subject matter expertise on the Hortonworks platform and the Hadoop eco-system
Participate in the design and development of an appropriate set of tooling around the EDL to support data ingestion, transformation, data quality and analytics
2) Delivery of Data, Business Intelligence and Analytic Solutions
Collaborate with team members and business partners to understand their data and analytics needs, and develop the required data infrastructure within the Enterprise Data Lake using Apache Hadoop ecosystem of technologies (Sqoop, Hive, HAWQ, Python, Spark, Flume etc…) and IBM InfoSphere suite of tools
Collaborate with business partners and data scientists to deliver creative, cost-effective and robust Analytic and BI solutions using Spark, Python, Scala, Zeppelin, Kylin, etc, and also off the shelf tools (SAS, Cognos, Tableau etc…)
Liaise with the team and business partners to ensure that project and business objectives are met
Effectively communicate on progress, escalating potential issues in a timely manner
Provide effective assistance and resolution to a variety of business stakeholder issues and concerns
University degree, specializing in Computer Science/Computer Engineering or a related discipline
Solid programming and scripting skills (e.g. Java, Scala, Python)
Expertise in Apache Hadoop ecosystem related Apache open source projects
Solid knowledge of database programming (SQL)
Strong interpersonal, written and verbal communication skills. Ability to coordinate between project team members and business stakeholders to translate complex business requirements into cost-effective and robust solutions
Knowledge of other business intelligence (BI) technologies and data warehouse tools is an asset

Data Engineer Resume Examples & Samples

The individual would have substantial business knowledge and insights to work across various teams to understand complex business problems and translate the solutions to sustainable code in a big data environment
Primary development will be within the Hadoop ecosystem requiring strong Linux and development tools and utilities including Spark, Scala, Python and Cassandra and Postgres databases. Provide oversight of coding and operational processes to ensure they are developed according to standards and best practices
Support the technical senior manager and director and collaborate with business partners, data scientists and cross functional IT teams to deliver complex, creative, cost-effective and robust operationally stable MIS solutions. This includes development and oversight of reporting solutions using Tableau, Business Objects and/or other industry standard BI tools
Provide technical support for existing operational processes including SAS, Oracle and other standard data warehouse processes
Compelling agile development experience and a passion for designing innovative technical coding solutions
Excellent SQL coding and experience with a broad array of development tools and platforms including a strong Linux background and development within a Hadoop ecosystem of technologies including Spark, Scala/Python, Airflow, and Cassandra and Postgres databases
Development history in a traditional data warehousing environment using standard RDBMS such as Oracle and exposure to SAS would be a major asset
A demonstrated ability to work in fast paced, agile environment

Data Engineer Resume Examples & Samples

Bachelor’s degree in IT or IT-related field. 8+ years of data warehouse, SQL, and/or ETL technical experience
Prior role developing/managing/working with informaticca
X & strong with SQL / PLSQL knowledge
Should have designed and implemented at least one medium to large size project
Should be well versed with database concepts , SQL, PLSQL, performance tuning, indexing etc
Should be well versed with data modeling methodologies
Experience working with Informatica 9x, SQL & PLSQL
Knowledge of Data Warehousing technologies and principles
Unix scripting knowledge is good to have
Excellent oral & written communication skills at all levels
Experience within a Financial Services company, ideally within an Accounts Receivable/Payables Management, Factoring or Finance shared services environment
Experience working with offshore/remote development resources and stakeholders
Experience in leading projects with cross-functional teams
Experience coordinating on reporting tools like Business Objects, OBIEE & Spotfire
Experience in leading projects with cross-functional teams. #DTR

Data Engineer Resume Examples & Samples

Successfully partner with data scientists to support building fancy data products based on big data technology efficiently
Successfully partner with software engineers and system operators to design data generation and provisioning architectures
Be responsible for Data Management / Engineering on our Hadoop-based data platform working in the fields: Data ingestion management, Data architecture and Data modelling, Data Quality and Data accessibility
Extend and optimize the current system in making the enormous amounts of data accessible to data scientists, that e.g. could refer to implementation of stream processing or batch job
Design scalable architecture for data ingestion that also consider change management, data quality and data governance
Help to build a healthy, sustainable and scalable data infrastructure
Leverage data infrastructure and lead best practices sharing with engineers and analysts and business partners across the company and the eBay classifieds group

Data Engineer Resume Examples & Samples

Building a cloud based recommender systems that allows easy development of new recommender applications
Building well-formed APIs and services to allow members of the wider Elsevier ecosystem to easily integrate with our applications
Taking advantage of techniques such as test-driven development, pair programming and continuous delivery
Working with Data Scientists and Product Managers to ensure software is high quality and meets user requirements

Data Engineer Resume Examples & Samples

Design and support the database and table schemas for new and evolving sources of data brought into the data warehouse
Create and support the ETL to facilitate bringing data into the data warehouse using SQL Server Integration Services
Create and support the SQL Server Analysis Services cubes to help with query performance
Act as the go-to person for team members and leaders both inside and outside of the team
Share best practices to help develop others
Monitor and troubleshoot performance issues on the data warehouse servers
Generate new ideas and execute on solutions that make a difference
Participate in production code pushes after regular business hours
Participate in an on-call rotation as required
Bachelor’s degree in computer science or related field
Expert-level SQL coding/querying skills in SQL Server and/or MySQL
Experience in database design, most of it towards data warehouse, using enterprise relationship database systems (MS SQL Server, Oracle or other relational database)
7+ years experience with ETL development using tools such as Altreyx or Cloud Data Services
Financial Service Industry knowledge is a plus
Experience with Business Intelligence tools such as Crystal, Business Objects, Microsoft SSRS, or Informatica Data Hub, Dell Boomi or Oracle OBIEE
Experience with relational database design/modeling using tools such as ERstudio or ERwin
Must be comfortable working in a fast-paced, flexible environment, with new technology
Experience with Agile project management and methodology
Experience in leading technical projects, assignments and analysis
Must have excellent organization, analytical, interpersonal, written and verbal communication skills
Must be able to work in teams and in a self-directed work environment
Must be comfortable operating in a collaborative, shared leadership environment

Data Engineer Resume Examples & Samples

Design and develop highly scalable, end to end process to consume, integrate and analyze large volume, complex data from sources such as Hive, Flume, Kafka or Storm
Provide Data Engineering expertise to multiple teams across our organization. Provide guidance and support to software engineers with industry and internal data best practices
Build fault tolerant, adaptive and highly accurate data computational pipelines. Tune queries running over billion of rows of data running in a distributed query engine
Researching and implemented new data technologies as needed
Working with other teams to understand needs and provide solutions
Find innovative solutions through a combination of creative thinking and deep understanding of the problem space
Work with the Business Intelligence development team on migration and improve existing SQL Server-based ETLs to Map Reduce and Hive (Cloud) technology to achieve scale and performance
Help define and implement new processes on the data warehouse platform and work closely with Data Scientists to transform big data into model-‐ ready forms to support analytic projects
Experience working with large data sets (both structured and unstructured) using technologies such as MapReduce, Hadoop, HBase, Hive, Spark and NoSQL technologies
Strong programming background with languages such as Java, C++, or Python
Good knowledge of distributed systems
Background working in cloud environments – AWS, Rackspace, Azure, etc
Experience with real-time analysis of sensor and other data from Internet of Things (IoTs) or other connected devices is a plus
Excellent grasp of algorithmic concepts in computer science (e.g., sorting, data structures, etc.)
Experience in the design, development and release of enterprise scale applications
Experience with version control
Excellent team working attitude with analytical and creative problem solving abilities

Data Engineer Resume Examples & Samples

Support the administration of on premise and cloud based Hadoop clusters
Support and integrate big data tools/frameworks
Work with senior staff to build, implement and support the data infrastructure; ingest and transform data (ETL/ELT process)
5 years of experience architecting, building and administering large-scale distributed applications using Hadoop and/or Linux systems
5 years of ETL experience with Hive/Impala – Hue, ETL and advanced SQL programming
Understanding of data warehousing and BI concepts, including hands on experience building ETL/ELT data pipelines
Attention to detail and results oriented, with a strong customer focus
Five years of collective experience in data engineering, data analysis, data warehousing or data transformation, in a similarly sized organization
Two years of ETL experience with Hive/Impala – Hue, ETL and advanced SQL programming
In-depth understanding of the Hadoop eco-system (e.g. HDFS, MapReduce, HBase, Pig, Scoop, Spark, Hive)
In-depth understanding of data warehousing and BI concepts, including hands on experience building ETL/ELT data pipelines

Data Engineer Resume Examples & Samples

Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end
Establish and maintain policies, procedures and standards for data management and processing
Provides technology guidance, evaluate tools, perform POC’s, design solutions & documentation
Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 1+ years of experience as data engineer
A minimum of 1 years of experience using Scripting (Python, Perl, Shell, etc) is required
A minimum of 2 years of experience working on Database(s) like PostgreSQL, Oracle, SQL Server. SQL is required
A Minimum of 2 years of experience designing data model solutions for various OLTP and OLAP databases
Manufacturing Experience
Experience working in an Agile software development environment
Demonstrated ability to work effectively across functions in a matrix environment
Strong analytical skills – strong problem solving skills, communicates in a clear and succinct manner and effectively evaluates information / data to make decisions; anticipates obstacles and develops plans to resolve
Highly self-motivated, able to work independently

Data Engineer Resume Examples & Samples

Design and develop new systems and tools to enable users to consume and understand data faster
Participate in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies
Participate in creating state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies
Bachelor's degree in Computer Science, Science, Information Technology, Engineering (any) or equivalent experience
Experience using the Hadoop ecosystem, MapReduce/Spark, OR experience with a NoSQL technology (Cassandra/MongoDB/HBase)
Experience using Scripting (one of Python/Ruby/Perl)
Experience with Core Java, REST APIs (or Java WebServices & SOAP)

Data Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with
A minimum of 2 years of experience using Scripting (Python, Perl, Shell, etc) is required
A minimum of 5 years of experience working on Database(s) like PostgreSQL, Oracle, SQL
A Minimum of 5 years of experience designing data model solutions for various OLTP and

Data Engineer Resume Examples & Samples

Develop practical and innovative ways to implement data warehousing solutions, including data ingestion & cleaning, data organization & storage and data access to support scalable cloud-based software development and deployment
Deliver solutions in a modern “big data” environment of relational and time series databases to support multiple classes of synchronous and asynchronous real-time data
Effectively manage data velocity, volume and variety in a data intensive infrastructure business
Track installations, provide regular application updates and own the overall data lifecycle for the database environments
Collaborate with customers to integrate their data with GE infrastructure
Work with in data scientists, IT experts, software engineers and data support personnel to provision and monitor solutions
Support software development efforts by architecting and implementing data solutions that interface with modern analytics environments
Support data mining, analysis and data presentation efforts for customer-facing software development
Work with internal customers to define data dictionaries
Introduce team to new data technologies and look for opportunities for performance improvements
Work on cross-function teams of software engineers, data scientists, product and project managers and IT experts to deliver leading edge software products to the Wind industry
Leverage global team’s expertise and develop specific data purge and analytical solutions for the improvement of China OEM turbines’ performance and asset management; expand GE’s digital solutions to offer China customers one-stop solution for their fleet assets
Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math) from an accredited college or university
Minimum 3 years of experience with relational and time series databases
Demonstrated ability to develop software with a heavy focus on data manipulation
Master’s degree in Engineering or Computer Science
Demonstrated experience developing and deploying software in large scale applications
Strong background in data warehousing technologies (relational, time series, NoSQL) … PostgreSQL, Greenplum, Apache Spark, Historian, Hadoop
Expert with SQL, Python, Java, Matlab, R
Experience with SQL database administration
Superior analytical skills, with ability to improve / automate existing processes
Experience in statistics, machine learning, or other data mining techniques
Agile development training or experience preferred
Six Sigma training is preferred
Ability to work both autonomously and as part of a team
Ability to understand internal & external customer needs
Strong interpersonal and leadership skills
Understanding of Wind turbine control/SCADA data is a plus

Data Engineer Resume Examples & Samples

Implement data engineering tasks including transformation, quality remediation and report, audit, optimization for storage and retrieval
Work closely with domain experts to explore given data sets and identify data transformation and data quality needs for targeted applications
Develop data visualizations and reports to derive insight and business value
Effectively communicate technical analyses and results to business management
Research and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities
Work with the subject matter experts to develop best data-driven answers to customer high value questions
Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc)
Implement Data warehouse & Big/Small data designs including ETL and automated data quality monitoring capabilities
Bachelors degree in Computer Science, Engineering, Information Technology or equivalent (STEM) with or closely related fields
3 – 5 years experience in software development and the software development lifecycle
Experience in Data modeling tools and concepts, SQL and one RDBMS product (Oracle, Teradata etc.)
Experience in Scripting (Pig, Python, Perl, etc) and in Core Java, Java WebServices development SOAP, REST APIs
Demonstrated ability to translate user needs and requirements into design alternatives
Effective team player with strong communication skills, including ability to communicate effectively / clearly at different levels in the organization
Proven ability to create and maintain online and printed documentation
Demonstrated track record for the successful execution and accountability of assigned tasks
Experience with one BI visualization software (Tableau, Spotfire, etc.)
Global mindset with ability to effectively work on distributed remote teams
Experience / familiarity with Remote Monitoring & Diagnostics
Expertise in one or more analytics software tools and packages e.g. Matlab, R, Python etc
Experience with data extraction, data cleansing, data manipulation, ETL tools, and big data technologies, data dictionaries, and data management processes
Experience with Linux/Unix operating system, shell script, and perl
Able to work with limited or ambiguous information and able to develop solutions in response to changes in business climate
Able to simplify strategy into specific actions with clear accountability, make decisions with speed and accuracy based on best available information, and communicate priorities clearly and concisely

Data Engineer Resume Examples & Samples

A love of sports!
Ability to design, build, and maintain our data warehouse and ETL pipeline
Extensive, hands-on experience with BigQuery, Redshift, RDS, or similar data warehouse technology
Expert-level experience with SQL, query performance tuning, data modeling on the following or equivalent platforms: MySQL, Postgres, Redshift, SQL Server, etc
Experience with Master Data Management (MDM), customer record deduping, etc
Excellent programming skills using Python, Java, PHP, Shell, etc
System management expertise with monitoring, backup, and disaster recovery, automated schema migration, automated testing, and continuous deployment
Experience with Tableau, Domo or other BI tools
Experience partnering with business and product to deliver data solutions against strategic goals
BA/BS degree in Computer Science or equivalent practical experience

Data Engineer Resume Examples & Samples

5-7 years professional software development experience or an advanced degree in Computer Science or related field
Experience working in multi-disciplinary team with many business owners
Assist in designing, planning and managing the data management process
Ability to articulate POV for 360i data and technology services
Work with subject matter experts, product managers and clients to identify, define, collate, document and communicate use cases and business requirements
Ensure highly reliable information delivery for 360i’s leading clients by leveraging a variety of data sources using cloud-based data services such as AWS and Azure for ELT
Familiarity working with modern visualization frameworks and prototyping
Strong skills in relational databases including design, advanced SQL concepts, and enterprise and dimensional data modeling
Thorough understanding of SQL, PSQL, HIVE, PIG or noSQL concepts and techniques
Experience migrating data from terrestrial platform (MySQL, SQL, etc.) to cloud-based technology (AWS, MS Azure, Google Cloud, etc.)
Experience with Amazon Web Services (AWS) RedShift (preferred), Elastic Map Reduce or similar platform
Working knowledge or experience with ParAccel, Teradata, MySQL, Actian, Hbase etc

Data Engineer Resume Examples & Samples

Design extract, load and transform (ELT) components and process flow using Python or Pig and Hive in single or multi node environment
Develop, test and automate applications using Unix Shell Scripts, and Perl
Work independently in the development, testing, implementation and maintenance of systems of moderate-to-large size and complexity
Provide detailed analysis of problems and recommends solutions
Work with project managers and business analysts to recommend/develop system solutions to business problems, and translate business requirements into technical specifications and applications
Experience in Enterprise Data Warehouse on AWS
Strong understanding of AWS components like EC2, S3 and EMR is required
Minimum 5+ years of experience working with UNIX environment, and experienced in shell and/or Perl programming
Minimum 5+ years of experience working with Data Warehouse development
Experience with Non Columnar and Columnar Databases with strong SQL scripting
Strong knowledge of any ETL tool as Pentaho, Informatica, Ab Initio
Understanding of Data warehousing methodology (ELT – ETL)
Experience in developing ETL applications using Python or Pig
Knowledge of code management using Git / SVN or other standard tool
Previous experience with processing large amount of data is highly desired
Familiar with DBMS table design, loading and tuning principles, and experience in SQL and stored procedures
The ability to work effectively across time zones with other global team members

Data Engineer Resume Examples & Samples

2) Leverage tools, processes and procedures to create, manipulate, and manage very large data sets (data science platform engineering) to deliver business impacting analytics
2) Develop, document, and transfer analytics dashboards, algorithms to Honeywell businesses technology groups to enable new product and service offerings
3) Work closely with a global team of Data scientists, Domain experts, Data Engineers, & Product managers to create business impacting data analytics services
6) Rapid self-learner, with bias for action & experimentation mindset. Provide thought leadership through effective communication of results
Bachelor’s degree in computer science, statistics and relevant fields, preferably with experience in working on Bigdata sets of structured and unstructured data in cloud production systems

Data Engineer Resume Examples & Samples

Apply broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse life cycle phases to design an integrated, quality solution to address the business requirements
Meet and collaborate with business users on requirements, objectives and measures
Design the technology infrastructure across all technical environments
Ensure completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
Design and plan for the integration for all data warehouse technical components
Provide input and recommendations on technical issues to the project manager
Responsible for data design, data extracts and transforms
Develop the implementation and operation support plans
Bachelor's Degree in an engineering or technical field
3+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures
3+ years of experience with relational data modeling concepts
Experience in relational database concepts with knowledge of Oracle, SQL and PL/SQL
Experience with Informatica, Pentahoe or other ETL tools

Data Engineer Resume Examples & Samples

Intelligence in Equipment Platforms
Understands the drivers of equipment platform performance, translates these into requirements for the instruments and other data sources (PLM, SAP, etc.) which combined can be leveraged to predict and improve performance. Works with Global Equipment Platform Leaders to draw new to the world insights, feedback to platform designs, and create prognostics to improve performance and archive the vision of Intelligent Equipment platform
This individual understands the packing work process and works across disciplines and functions to translate the vision to reality
Big data based Information System for Beauty Product Supply
Builds new systems or expands existing big data platforms to draw new to the world insights
Uses various visualization tools to discover and communicate new insights from various datasets in simple language
Drives development and adoption of new big data based tools
Educational Qualifications: MTech/ M.S or PHD (preferred). Areas of study-Applied Mathematics, Statistics, Controls & Instrumentation

Data Engineer Resume Examples & Samples

10+ years of total IT experience
Over 5 years of experience developing for Data Warehousing, Data Marts, Business Intelligence, and/or Master Data Management
Experience developing in Oracle, DB2, SQL Server
Object oriented programming concepts
Strong knowledge of Database Management Systems
Performance Tuning
Experience in SDLC and best practices for development
Ability to work against mid-level design documentation, take it to a low-level design, and deliver a solution that meets the success criteria
Knowledge of packaging and promotion practices for maintaining code in development, test, and production
Ability to manage multiple priorities
Experience working in a leadership capacity
Fundamental knowledge of IT Service Management/ITIL processes and tools
Data Virtualization using Cisco’s Information Server (Composite)
Subversion for source control
Database Administration
Big Data Platforms: Netezza, Hadoop, Teradata
Perl Scripting

Data Engineer Resume Examples & Samples

Pursuing a BS or higher in one of the following areas: Computer Science, Electrical/Computer Engineering, Mathematics, Physics
Pursuing a B.S., M.S., or PhD Computer Science or related field
Expertise with at least one programming language (preferably Python, Perl or PHP)

Data Engineer Resume Examples & Samples

A minimum of 5+ years of IT experience with deep exposure to database technologies
Bachelor's Degree in Information Systems, Computer Science or related technical discipline
Demonstrated track record of providing technical solutions
Must have at least 3-5 large Transactional & Operational DB implementations as a Data Modeler / DB Developer/Middleware specialist
The required Skills include
Ability to conceive and portray the big picture
Strong interpersonal & verbal/written communication skills
Strong critical thinking and decision-making ability
Ability to operate across technical and functional teams effectively
Lean Six Sigma Certification
Experience working in a global environment team members working remotely located in various time zones

Data Engineer Resume Examples & Samples

Two years of experience with Python
Two years of experience with SQL
Solid understanding of RDBMS and NoSQL databases
Data munging experience in a commercial setting
Willingness to learn new programming languages and technologies (e.g. QlikView, Amazon Web Services)
Willingness to learn health care data and analytics
The ability and initiative to propose solutions to business problems

Data Engineer Resume Examples & Samples

The person will ideally have strong technical skills in broad variety of data technologies across the stack including: Hadoop (HDFS/Hive), Python, SQL, R
Define and manage best practice in configuration and management of the data store. Ensure that all data and systems are managed with the highest regard for data security and upholding of our obligations to the vendors who license data to us
Work with IT to align as closely as possible with the rest of the business, whilst still ensuring that the data scientists are able to innovate, research, and act with agility
Work with Data & Insights Technology colleagues to create and optimise ETL and data enrichment processes to maximise the usefulness of data for a variety of purposes. Includes working out how best to ingest new data sources from new vendors, and where possible directly engaging with the vendor to improve their service for Schroders’ goals
Understands data governance principles and is able to effectively engage with data governance practice
Understands typical enterprise concerns around data sharing, including awareness of legal, compliance, governance, information security etc
Familiarity with agile methodology

Data Engineer Resume Examples & Samples

Create and maintain logical and physical data models using ERwin and/or ER Studio
Prepare database deployment scripts that create and alter tables and views, create reference data, and migrate data from old to new implementations
Manage the promotion of deployment scripts through non-production environments into production
Analyze integration requirements and document data mapping and transformation rules to support real time and ETL integration
Work with application developers and DBAs to diagnose and resolve query performance problems
Troubleshoot data related issues in solutions
Pro-actively identify and communicate risks and issues to management and create action plans to mitigate risks
A degree in Information Systems or related field and 5 – 8 years of experience as Data Analyst, or the equivalent combination of education and/or experience
Established expertise in developing SQL, DDL, DML and vendor specific data programming languages such as PL/SQL or Transact SQL
Practical experience applying data modeling techniques and tools, such as ERWIN or other modeling tools
Practical experience applying relational and dimensional database concepts and technologies
5 years of experience in data analysis, including developing Relational or Multidimensional databases and cubes
Experience with the Oracle DBMS environment
Effective communicator (written and verbal) and team player
3 years developing DFDs, CRUD Matrices and related data design artifacts
Experience with cloud-based solutions, integration and data life-cycle management
Experience with MS SQL Server, DB2, XML/XSD and TOAD
Experience at a financial services company focused on group and voluntary disability products
A history of successfully bringing innovative solutions to complex problems
Familiarity with the ACORD (Association for Cooperative Operations Research and Development) standards

Data Engineer Resume Examples & Samples

Amazing critical thinking skills with the ability to take abstract concepts and ideas, distill them down, and make them real. You want to understand not only how something works, but why it works and how it can be improved
A keen sense for problem solving - sniffing out issues and bugs during development and in production systems
Excellent communication skills with the ability to switch contexts between highly technical and business-focused topics
The ability to see data from a number of different elevations. You know how to model databases from their high-level entities, but you also know how to get far lower and dig into query execution plans
A pragmatic data mind that knows several different ways to couple applications to data, and understands the best approach to use under certain constraints
Lots of experience working in highly-iterative development processes. You understand the principles of them, but aren’t married to any particular methodology
Data modeling and development skills in multi-tier and highly scalable applications, particularly
A development background that goes beyond SQL and databases. You’ve built the applications and web services that rely on the data too. You know acronyms like REST and SOAP just as well as PK and FK
Synthetic data modeling and metadata management with some experience in the concepts of master data management (MDM) and enterprise information integration (EII.) You know why most MDM initiatives fail and can guide us in the right direction
Impressive successes in real-time data integration. You’ve taken information from a number of different source systems, glued it together, and delivered it to a consuming application in real-time
Built integration to cloud-based and other SaaS solutions, particularly SalesForce.com. You’ve worked with hybrid topology solutions and you’ve plugged SalesForce.com into other solutions bi-directionally
Developed applications and databases at Millions of rows and terabytes of data don’t scare you, they motivate you to optimize queries and seek out new ways of doing things
Experience in new and/or open source relational and no-SQL database technologies. You are at home with relational systems such as MySQL, MariaDB, and Postgres, no-SQL databases like CouchDB and Dynamo, and caching databases like memcache and Redis. You know what tool is right for the job

Data Engineer Resume Examples & Samples

Clean, transforms and aggregates unorganized data into databases
Highly experienced in SQL and NoSQL technologies
Programming knowledge to implement data solutions

Data Engineer Resume Examples & Samples

A Scrum team-player who likes to use data to analyze the past and to predict the future
A passionate engineer who enjoys challenging and interesting problems – big data volume, scale, performance, integration, and many others
Data analysis, mapping, and modeling
Development of high performance SQL/Hive queries and data transformation jobs
Strong relational database skills - design, scalability (preferably Oracle)
Experienced with BigData challenges and NoSQL technologies (like HBase, Hadoop, Hive, Oozie, MongoDB)
UNIX/Linux experience, and scripting skills (shell, Perl, Python, etc.)
Superior problem solving and troubleshooting skills
Java experience is a big plus

Data Engineer Resume Examples & Samples

Own and maintain the repository of analytical views in support of the broader analytics team, working directly with the underlying data-store to create new or modify existing analytical data structures
Proactively identify ways to improve data capture, systems, and reporting
Partner with internal technical team to develop, implement, maintain, and improve systems and tools
Directly query the database to pull data, conduct analysis, and prepare recurring and ad hoc reports
Effectively communicate analytical findings to non-technical audiences
Perform data validation and document discrepancies

Data Engineer Resume Examples & Samples

Basic statistics: for example, T-tests, correlations, and sampling
Highly scalable distributed systems hosted on cloud providers (e.g. AWS)
Basic working knowledge of web development technologies: HTML, Javascript, CSS, HTTP

Data Engineer Resume Examples & Samples

Architecture chops. You should have opinions on constructing software systems and good knowledge of the principles of fault-tolerance, reliability and durability
Experience designing and deploying high performance production services with robust monitoring and logging practices
Capacity for courageously evaluating tradeoffs between correctness, robustness, performance, space, and time
Ability to build and interact with very large data processing pipelines, distributed data stores, and distributed file systems
Strong programming and algorithmic skills (we mainly use Java & Python)
Experience in the following is a plus but not required: HDFS, S3, Kafka, Storm, Samza, Spark, EMR, Java, or Python

Data Engineer Resume Examples & Samples

Bachelor's degree or higher in an engineering field (Computer Science, Computer Engineering, etc)
Programming experience one or more application or systems languages (Go, Python, Ruby, Java, C/C++, etc)
Experience building data pipelines from ingestion to delivery in critical data applications (Data Warehousing, Search, Real-time Dashboarding)
An incredible desire to be part of a team that delivers impactful results every day
An innate desire to deliver and a strong sense of accountability for your work
Well versed in software and data design patterns
An enormous sense of ownership
Hadoop Ecosystem of Tools (Spark, Hive, Pig, Oozie, Impala, MapReduce, etc)
MPP platforms (Vertica, Redshift, Teradata, Greenplum, etc.)
ETL tools (Kettle, Informatica, etc.)

Data Engineer Resume Examples & Samples

Minimum B.S. degree in Computer Science or a related technical field
Minimum 3 years of Python development, Unix/Linux system experience, SQL (Mysql, Mssql, Hive, etc) experience and software development/programming in one of Java, C/C++. OS environment: Linux/Unix
Strong knowledge in distributed databases or distributed systems, dimensional data modelling and schema design in Data Warehouses
Execellent knowledge in BigData analytics pipelines (Hadoop, Hive, ETL, RDBMS-Hadoop data management tools like Sqoop)

Data Engineer Resume Examples & Samples

Work with business owners to fully understand how data drives business issues and opportunities
Develop business intelligence/reporting solutions as defined in technical specifications
Analyse business intelligence requirements (e.g., standard/ad hoc reporting, dashboards, scorecards, visualization, analytics)
Identify and analyse applicable source data (e.g., internal/external data feeds, systems, databases, "sources of truth")
Architect/design data management processes and capabilities (e.g., governance, archiving, metadata, master data, data modeling, data quality)
Develop specifications to support data management processes and capabilities (e.g., governance, archiving, metadata, master data, data modeling, data quality)
Support successful project execution
Plan and manage assignments of varying scope
Significant experience communicating with senior level business leaders and stakeholders
Strong experience with relational databases
Strong experience with Hadoop, Pig, Hive, Spark
Advanced experience creating advanced SQL queries
Demonstrated of data experience working with large datasets / big data
Considerable experience of source-to-target mapping experience (including complex business rules)
Proven large data warehouse / big data projects
Significant SDLC (Software Development Life Cycle) experience
5+ years of data analysis experience
Bachelors and/or Master's degree
Experience analysing and manipulating unstructured data
Experience with Agile / Scrum
Experience working in a consulting capacity or consulting organization
Experience with other Business Intelligence Tools like Cognos, SAS or TOAD
Experience in data profiling and data analysis
Excellent communication skills (Verbal and Written)

Data Engineer Resume Examples & Samples

Design ELT/ETL Strategy, Logic for the Finance modules within the Digital Data Lake
Analyze Finance data models, create and optimize data ingestion processes for the Data Lake through ETL technologies like data replication and scripting with Greenplum, Talend, etc
Works closely with teams and individuals on Greenplum, PostgreSQL scripting, has experience with Data Quality and profiling to ensure quality of extracted data
Ability to query data both in source and destination and anticipate corrective measures; measure and publish data migration metrics on a sustainable basis
Prior experience in Finance domain with Oracle/SAP ERP
Minimum 4 years of work experience in database scripting, modeling and design
Strong experience in ETL and Big Data Technologies like Greenplum, PostgreSQL
Prior experience and knowledge of General Ledger, Accounts Payables, Receivables, Fixed Assets etc. within financial systems
Can communicate complex issues effectively to internal staff and customers
Work with teams across the globe
Work effectively with project managers and client stakeholders to understand and deliver on project requirements and deadlines

Data Engineer Resume Examples & Samples

Owner of the core company data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
Consistently evolve data model & data schema based on business and engineering needs
Implement systems tracking data quality and consistency
Develop tools supporting self-service data pipeline management (ETL)
SQL and MapReduce job tuning to improve data processing performance
Extensive experience with Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet)
Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
Good understanding of SQL Engine and able to conduct advanced performance tuning
Strong skills in scripting language (Python, Ruby, Perl, Bash)
Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
Comfortable working directly with data analytics to bridge business requirements with data engineering

Data Engineer Resume Examples & Samples

Curate, condition, parse and load data into systems
Design, document, construct and deploy database architectures and applications, leverage scripting languages and tools to integrate systems and services
Define and implement data standards, processes and application programming interfaces to support data exchange, exploitation, modeling, management and production
Evaluate and integrate new data management technologies into existing services and capabilities
Attend various data meetings, including the metadata working groups and the team planning sessions
Bachelor’s degree and 5 years of experience
Ability to understand the technical architectures involved
Excellent analysis and organizational skills
Ability to work with developers to ensure data consistency, business rules, etc
Ability to work with users to understand data requirements
Understanding of data transfer methodologies
Interface with multiple groups (internal and external)
AWS/Cloud knowledge specifically AWS storage solutions such as S3 and EBS
TS/SCI with Full Scope Poly
Experience with and/or knowledge of Elastic Search
Experience with Agile/SaFE methodology
Experience with Software Development

Data Engineer Resume Examples & Samples

Collaborate with business users and analyze user requirements
Assist with creating technical proof of concepts and researching potential solutions
Define technical solution approach and architecture for solving complex data management and transformation problems
Develop and test data pipelines in a variety of advancded technologies including Hadoop stack
At least one year hands on experience creating data solutions such as traditional ETL or big data pipelines
Strong SQL and physical data modeling skills
Highly self-motivated and able to work independently as well as in a team environment
Experience with massively paralleled systems such as Hadoop stack, Teradata, Exadata, etc
Experience with programming languages such as Java or Python
Knowledge of advanced data management & processing concepts such as partitioning, sharding, and compression

Data Engineer Resume Examples & Samples

Provide software development strategy guidance and consultation, utilizing a thorough understanding of Enterprise BI technologies and tools
Provide technical leadership and decision support to less experienced staff
Designs and develops highly complex technology solutions
Act as an expert architecture resource
Oversee best practices and governance for Enterprise BI solution
Take a leadership role and lead the design and implementation of a quality and stable solution
Bachelor’s or Master’s degree in Computer Science or equivalent work experience
8+ years in BI development with increasing growth and leadership responsibilities
Strong architecture, design and development skills
Strong understanding of patterns and best practices
Ability to mentor and guide development team members
Strong knowledge of web server and application server capabilities and configuration
Experience with OBIEE 10g/11g Repository and Web Catalog
Experience with other BI software such as MicroStrategy, Qlikview, and Crystal a plus
Experience with Star Schema and Snow Flake Data Modeling
Experience with Database Management using RDBMS, ORACLE, IBM DB2, SQL Server
Exposure to POS systems an asset
Strong understanding of development methodologies such as Agile, OOA&D, or SCRUM development
Good understanding of testing activities and methodologies
Understanding of security solutions such as single sign on, federated single sign on (SAML), access management, encryption, SSL, Directory Server (LDAP), and Identity Management
Good understanding of infrastructure deployment architectures (DMZ, load balancers, firewalls, IPS, etc.…)
Strong ability to decompose a broad level business requirement into technical implementation
Innovative thinking to solve challenging problems
Results oriented with an ability to work in team and individual contributor work environments
Strong organization skills with good interpersonal skills and a customer service oriented attitude
Strong root cause investigation and problem solving skills

Data Engineer Resume Examples & Samples

Master in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.)
Knowledge of private banking environment domain and previous experience as business analyst in this domain
Strong interpersonal skills and ability to quickly grasp complex systems and data flows
Experienced user of data discovery languages ( R, Python, etc.)
Expert user of the SQL language
Developer and Power user of one or more data visualisation tools ( Tableau, QlikSense etc.)
Experience with statistical modelling and/or machine learning
Experience with text mining, natural language processing, sentiment analysis or similar is an advantage
Ability to liaise with multiple teams distributed globally

Data Engineer Resume Examples & Samples

Design, develop and orchestrate data pipelines for real-time and batch data processing using AWS Redshift
Design and develop reusable components and frameworks for ingestion, cleansing, and data quality
Design and develop tailored data structures in Redshift
ETL experience using SQL, Shell Scripting and Python
Strong skills working with very large data sets with a variety of tools; experience in dealing with performance and scaling issues
SQL performance tuning including the ability to interpret explain plans and perform tuning
Knowledge of working with business intelligence tools (e.g., Tableau, Domo)

Data Engineer Resume Examples & Samples

Design, construct, install, test and maintain highly scalable data management systems
Learn new data sources and determine how best to structure the data for use in advanced analyses
Research opportunities for data acquisition and resolve data quality issues
Integrate new data management technologies and software engineering tools into existing structures
Employ a variety of languages and tools to marry disparate data sources
Work with various database solutions (NoSQL, RDBMS)
Work with leading big data solutions
Build scalable data pipeline solutions in a cloud environment
Work effectively with geospatial and GIS data and integrate it with other data
Work effectively with remote sensing and image data and integrate it with other data
Collaborate with team members to architect customized data solutions
Communicate effectively and translate business requirements into data solutions
Master’s degree in a data intensive discipline (Computer Science, Applied mathematics or equivalent) is strongly preferred, with a background in big data computer programming and/or a minimum of 3-5 years experience in big data processing
Additional preference would be given to a candidate with a PhD degree in a data intensive discipline. Exceptional candidates considered with Bachelor’s degree or Master’s degree in progress
Strong programming experience with: Python, Java, SQL, Ruby and other scripting languages
Proven experience building and maintaining data flow systems in AWS
Proven experience modeling and querying NoSQL, such as DynamoDB/ MongoDB
Proven experience architecturing big data solutions, such as AWS EMR/S3/EC2/HDFS/Hadoop
Proven experience with building and deploying ETL pipeline
Proven experience with emerging big data technologies
Proven experience working with APIs
Proven experience with relational databases and SQL
Plus - having geospatial and GIS skills
Plus- experience with one or more specialize areas: deep web, image and remote sensing data, natural language data, geospatial data

Data Engineer Resume Examples & Samples

Design and implement systems to either manually or automatically download data from websites and parse, clean and organize the data
Research opportunities for data acquisition
Assess and resolve data quality issues and correct at source
Ensure all data solutions meet business requirements and industry practices
Have extensive experience in employing a variety of languages and tools to marry disparate data sources
Have knowledge of different database solutions (NoSQL or RDBMS)
Have knowledge of NoSQL solutions such as MongoDB, Cassandra, etc
Work effectively both in a local server environment and in a cloud-based environment
Collaborate with Data Architects and IT team members on project goals
Collaborate with Data Scientists and Quantitative Analysts
Master’s degree in a data intensive discipline (Computer Science, Applied mathematics or equivalent) is strongly preferred, with a background in “big data” computer programming and/or a minimum of 3-5 years experience in “big data” processing. Additional preference would be given to a candidate with a PhD degree in a data intensive discipline. Exceptional candidates considered with Bachelor’s degree or Master’s degree in progress
Strong programming experience with: Python, Java, SQL, Ruby
Proven experience with web communication protocol and web crawling tools
Proven experience with AWS
Experienced with querying NoSQL databases
Experienced with relational databases and SQL
Plus- experience with one or more specialize areas: image and remote sensing data, natural language data

Data Engineer Resume Examples & Samples

Ability to write complex and efficient SQL code freehand from scratch
Ability to profile/analyze data to identify gaps, inconsistencies, and duplicates
Proficiency in wrangling data and creating data pipelines using fast, efficient Python code
Hands-on experience with schema design and dimensional data modeling
Experience working alongside data scientists and business owners to produce custom data sets in a timely manner
Good understanding of Agile methodology
Excellent communication skills and fluent in English
Strong sense of ownership, urgency, and drive

Data Engineer Resume Examples & Samples

Administer Readiness/Production BI Infrastructure
Support day to day data acquisition and ETL streams from multiple sources
Support AWS infrastructure including: Redshift, Linux EC2, S3, Kinesis Firehose, Lambda code, Cloudwatch, VPC
Monitor systems and maintaining uptime SLA’s
Lead up BI product upgrades, patching
Automate, streamline manual tasks and processes
Troubleshot data integrity issues
Work closely with the development and QA organizations on product enhancements, tooling and dev ops
Contribute to the design, procurement and configuration of data warehouse infrastructure
Amazon Web Services (IAM, EC2, S3)
Experience with ETL processing
Comfortable in Linux – (cron, bash scripting, command line)
Experience with system/site monitoring tools (Nagios, Solarwinds, NewRelic)
SQL (Running queries, triggers, stored procedures, etc.)
Ability to operate with minimal supervision

Data Engineer Resume Examples & Samples

Design and build an architecture for big data processing to interface between tracking and cloud computing teams
Build and maintain a data analysis and machine learning library used in research and production systems
Contribute to the analysis and characterization of large datasets used to improve quality of hand tracking
Experience with GPU-accelerated computing
Experience with any of: Apache Mesos, Kubernetes, Nomad, Kafka, Apache Flink, YARN, HDFS, Postgres, Rails
Passion for machine learning and data analysis -- NumPy, Theano, scikit-learn, TensorFlow
Innately curious and self motivated to ask questions and find answers
Passionate about technology and enjoys hacking/prototyping on the side
Dynamic individual with great teamwork and interpersonal skills

100

Data Engineer Resume Examples & Samples

Key Responsibilities
Design, build, deliver and support Data Warehouse and ETL structures and solutions
Act as an internal consultant, providing architecture, vision, problem anticipation, and problem solving for the assigned project(s), as well as a Subject Matter Expertise for data and analytic users
Provide L3 application and on-call support for data and integration solutions
Participate and at times lead project teams within an agile environment
Successfully engage in multiple initiatives concurrently, including application and on call support, minor projects, major projects, functional requirements, systems specifications and subject matter expertise
Prepare clear and concise documentation for delivered solutions and processes, integrating documentation with corporate knowledgebase
In partnership with the Product Management team, provide subject matter expertise for determining business requirements to address business opportunities or issues across business functions for data centric solutions
Maintain familiarity with technological trends and innovations in the data warehousing and data management domains
Key Processes
Interpret and satisfy business needs by building and enhancing systems to transform, cleanse and provision corporate data assets in a governed, secure and high performance manner
Provide subject matter expertise for data and analytics
Participate in the ongoing Data Management maturation process
Consistent and regular attendance is an essential function of this job
Must have at least 4 years ETL experience using SQL Server SSIS 2008r2-2014
Must have at least 5 years with T-SQL programming
Must understand Relational and Dimensional database modeling
Should have administrative experience with SQL Server 2008-2012
Prefer experience with key concepts of Data Management such as Data Quality and MDM
Experience with Data Preparation for Data Science a plus
Experience with analytic tools such as Spotfire, Tableau, SAS, Cognos a plus
Must be able to adhere to SOPs and methodologies, and be willing to improve them when necessary
Good working knowledge of Windows/Enterprise Systems/Networking/Enterprise Security
21+ years of age
Ability to communicate effectively in a positive/upbeat fashion utilizing English, both in oral and written form
Maintain consistent adherence to the Venetian and Palazzo Unmatched Guest Service Standards

101

Data Engineer Resume Examples & Samples

Must have minimum 6 years of database administration or data engineering experience
A minimum of a Bachelor’s degree required
Strong SQL skills, including query optimization
Experience working with large, complex data sets
Experience with recommendation systems preferred
Experience with data warehouse technologies (Infobright, Redshift, or other column-store database)
Working knowledge of Python or similar programming language
Experience with big data technologies in a cloud environment (e.g., Amazon Web Services)
Knowledge of statistics and machine learning preferred
Excellent written and verbal communication skillsDatabase

102

Data Engineer Resume Examples & Samples

Understand the Business Problem and the Data that is Relevant to the Problem
Architect Data Management Systems
Develop, Automate, and Orchestrate an Ecosystem of ETL Processes that is Fast and Reliable for Varying Volumes of Data
Prepare Data to Meet Analysis Requirements

103

Data Engineer Resume Examples & Samples

Design, build and launch new data models
Design, build and launch new data extraction, transformation and loading processes
Support existing processes
Work with engineers, product managers and product analysts to understand data needs
Create automated data pipelines via SQL, QlikView and python based ETL frameworks
Build data sets to empower operational and exploratory analysis
Build and automate the production of dashboards and reports
Evaluate and define key metrics

104

Data Engineer Resume Examples & Samples

Bachelor’s degree in Computer Science or related field
A minimum of 5 years experience
Experience in remote software installation (e.g. experience with Citrix, Windows security, FTP, Firewall and network troubleshooting.)
Intensive customer support
Work effectively with customers and internal staff in stressful situations
Proven ability to thrive in a fast-paced, critical-response environment
Ability to work in a team environment across multiple functional groups
Ability to explain technical concepts to non-technical users
Technical writing experience a plus
Willingness to give extra effort to meet deadlines as needed
Must have experience creating basic SQL statements and be familiar with relational database design concepts
Knowledge of Microsoft Office applications
Eagerness to expand technical skill set
Knowledge of healthcare industry a plus
Knowledge of data mining and/or data warehousing a plus
Proven mastery to read and understand production code
2+ years’ experience using SQL, SSIS, and RDBMS concepts
JAVA and SAS experience is a plus

105

Data Engineer Resume Examples & Samples

Interface with business customers, gathering requirements, and delivering complete data and reporting solutions
Design, implement, and support analytics and statistical models to drive key business actions and decisions
Develop and maintain analytics to assess pricing and fee metrics
Support design and development of automated algorithms and models
Tune application and query performance
5+ years experience in relational database concepts with a solid knowledge of Oracle, SQL
3+ years experience with relational and star schema data modeling concepts
3+ years experience with notable OLAP technologies and BI reporting tools, including administration, modeling, and report/dashboard development
Excellent knowledge of Oracle SQL, Linux, and MS Excel
Strong data modelling skills
Masters or Bachelors in Computer Science or a related technical field
Experience in developing and deploying datamart or data cube solutions
Experience with any reporting tool, preferably OBIEE 11G
Experience with Big Data Technologies
Working knowledge of an object oriented language

106

Data Engineer Resume Examples & Samples

Significant experience in relational database concepts with an expert knowledge of SQL, Metadata management
Strong analytical skills with passions on working with structural data sets
Effective analytical, troubleshooting and problem-solving skills
Ability to take a project from scoping requirements through actual launch of the project
Experience in communicating with users, other software teams, and management to collect requirements, describe software/data product features, and technical designs
Experience influencing software engineering best practices within your team
Background in BigData/EMR, Machine Learning and Data Mining is a plus

107

Data Engineer Resume Examples & Samples

Bachelor’s or Master’ degree in Math, Finance, Statistics, Supply Chain or related discipline
5-10 years of professional experience in business analytics at scale, demonstrated quantitative and qualitative data science/business intelligence experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
Experience in designing and implementing custom reporting systems by managing or guiding technical teams
Proficiency in SQL and performance optimization, ETL/ ELT and reporting/analytic tools, as well as PowerPivot & Tableau
Candidates with a Master’s degree or higher with additional experience are preferred
Ability to work independently with minimum supervision
Hands on modeling and forecasting experience is highly desired
Experience in supply chain operations, logistics or transportation
Excels at delivering results in a fast-paced, ambiguous environment
Innovative; loves to challenge the status quo and reinvent our business on behalf of our customers

108

Data Engineer Resume Examples & Samples

Design, implement and support a platform that can provide ad-hoc access to large datasets
Model data and metadata to support adhoc and pre-built reporting
Interface with business customers, gathering requirements and delivering complete BI solutions
Tune application and query performance using Unix profiling tools and SQL
Bachelors degree in CS or related technical field and 7+ years experience in Data Warehousing
Excellent knowledge of SQL and Unix
This position requires a Bachelor's Degree in Computer Science or a related technical field, and 4+ years of relevant employment experience
Oracle and Unix skills required
Scripting languages like perl and Unix shell scripts
Experience must involve design and development of large-scale data structures for business intelligence analytics, using ETL/ELT processes, data modeling, SQL, and Oracle

109

Data Engineer Resume Examples & Samples

Identify, extract, and transform both structured and unstructured data collect from internal tools and systems
Promote best practices in creating data structures and presentation models
Communicate with customers to ensure data is actionable and correctly understood
Communicate with software teams and tool developers to expand and improve data collection
Work with AWS leadership to present key findings from analyses to stakeholders
Provide input on how best to measure impact and progress of ongoing efforts or emergent issues
Experience with scripting language such as Python, Perl or Ruby
Knowledge of AWS products and services
Experience with transforming and enriching raw data to meet customer requirements
Experience with web display technologies such as HTML, CSS, and Javascript
Exposure to predictive/advanced analytic tools (such as R, SAS, Matlab)
Demonstrated ability to influence and develop productive working relationships with resources and dependent teams
Ability to work autonomously, and balance and prioritize multiple conflicting requirements with high attention to detail
Able to automate reporting and present in a rich web environment
Basic knowledge of network operations

110

Data Engineer Resume Examples & Samples

4+ years of data enginerring experience
Design and Develop scalable ETL and reporting solutions that transforms data into actionable business information
Interface with business customers, gathering requirements and gaining a deep-dive understanding of key datasets
Tune application and query performance using UNIX profiling tools and SQL
You should have strong expertise in the design, creation, management, and business use of extremely large datasets
Evaluate and implement various big-data technologies and solutions (Hive, Tez, Spark, Presto) to optimize processing of extremely large datasets in an accurate and timely fashion

111

Data Engineer Resume Examples & Samples

Interfacing with business customers, gathering data and metrics requirements, and delivering reporting solutions to drive key business decisions
Proposing changes to reporting and creating additional metrics and processes based on program changes and customer requirements
Collaborating with software engineers to design the data architecture and implement the data requirements
Interfacing with other technical teams to extract, transform, and load data from a wide variety of data sources
Communicating to stakeholders, getting buy-in on approach, and working with other teams across Amazon
Driving data quality improvement projects and continually improving reporting and analysis processes
Supporting ad-hoc data analysis requests
5+ years of experience in in data engineering/business intelligence space
Strong SQL, ETL and data modeling skills, with experience managing large-scale, complex datasets
Experience working with BI and reporting tools such as Oracle BI, Tableau, etc
Ability to work and communicate effectively with technical and business teams
Experience with MPP databases such as Amazon Redshift
Experience with big data platforms such as Hive/Hadoop
Demonstrated leadership abilities in an engineering environment, driving operational excellence and best practices

112

Data Engineer Resume Examples & Samples

MS in a quantitative field such as Economics, Mathematics, Statistics, Operations Research or Computer Science
Industry experience as a Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from large disconnected datasets
Strong proficiency in SQL
Expert in ETL and/or other data manipulation languages such as Python, SAS and R
Creative in finding new solutions and designing innovative methods, systems and processes
Desire to create and build new predictive/optimization tools for structuring datasets
PhD in a quantitative field such as Economics, Mathematics, Statistics, Operations Research or Computer Science
Experience with AWS and big data technologies such as Hive, Spark, Pig
Strong analytic skills for working with unstructured datasets
Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment

113

Data Engineer Resume Examples & Samples

A good candidate has strong analytical skills and enjoys working with structural data sets
Excellent knowledge of SQL; flexible to learn other scripting languages for data manipulation
Good data modeling skills
5+ years of working with large data sets and analyzing data to identify patterns
5+ years of SQL, RDBMS, data warehousing experience
Strong customer focus, ownership, urgency and drive

114

Data Engineer Resume Examples & Samples

BS degree in Computer Science, Engineering, Information Systems or a related technical field and 3-5 years of related industry experience; or a MS degree with 2 years experience; or 2 years related Amazon experience
Expert knowledge of SQL, databases, and ETL jobs
Advanced understanding and experience working with data warehousing, data quality
An ability and interest in working in a fast-paced and rapidly-changing environment

115

Data Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science or a related technical discipline
Expertise in the design, creation and management of large datasets/data models
Ability to work with business owners to define key business requirements and convert to technical specifications
Ability to write high quality, maintainable, and robust code, often in SQL, PL/SQL, or MDX
Expertise in Star Schema data modelling
Experience with OBIEE, Tableau or MicroStrategy

116

Data Engineer Resume Examples & Samples

Develop and maintain scalable, automated, user-friendly systems that support Sustainability analytics and insights
Work with stakeholders within and outside the company to integrate data sources to create a unified Sustainability data infrastructure
Scope, build, and maintain data infrastructures for new Sustainability initiatives
Automate processes to capture and flow a wide range of data resources
Design data analytics and dashboards to show progress against goals
Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
3+ years’ work experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies in a business environment
Demonstrated ability in ETL development, Data Warehousing, or similar quantitative and qualitative experience with impact to a business
3+ years of experience scripting using Perl, Ruby, Python, or other programming languages
Advanced knowledge and expertise with Data modeling skills, Advanced SQL with Oracle, MySQL,
And Columnar Databases
Self-starter comfortable operating with minimal guidance in a fast-paced, dynamic, and sometimes ambiguous work environment
Experience communicating with senior management (top level decision makers) as well as with colleagues from engineering, analytics, and business backgrounds
Detail oriented with extremely high standards for work product
Excellent communication skills and a team player
5+ years of experience with Map Reduce frameworks such as Hadoop/Hive
5+ years of experience with R, Stata, SAS or other statistical analysis packages
3+ years of experience using OLAP technologies and BI Analytics

117

Data Engineer Resume Examples & Samples

B.S. degree in mathematics, statistics, computer science or a similar quantitative field
5+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent
4+ years work experience with ETL, Data Modeling, and Business Intelligence delivery
Experience operating very large data warehouses
Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
Master degree in Engineering or Math/Statistics/Finance or related discipline
10+ years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
3+ years of experience with Big Data Technologies like Hadoop or Hive
5+ years of experience scripting using Perl, Ruby, Python, or other programming languages
Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues

118

Data Engineer Resume Examples & Samples

Degree in Computer Science or related field, with 5+ years professional experience in database development
Proficient with processing data on relational databases like Oracle/SQL Server/ Redshift/Tera data
Experience handling large data sets using SQL and databases in a business environment
Strong experience with ETL and DW processes
Excellent verbal and written communication
Strong troubleshooting and problem solving skills
Thrive in a fast-paced, innovative environment
Oracle, Redshift, Linux, OBIEE experience
Expertise with multiple database platforms
Familiar with computer science fundamentals including object-oriented design, data structures, algorithm design, problem solving, and complexity analysis

119

Data Engineer Resume Examples & Samples

5+ years relevant professional experience in Data Engineering and Business Intelligence
Advanced data analysis skills – e.g. pivot table
Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning
Ability to effectively communicate with both business and technical teams
Experience on working with Big Data
Knowledge and experience on working with Hive and the Hadoop ecosystem
Knowledge of Spark

120

Data Engineer Resume Examples & Samples

4+ years working experience in business intelligence or equivalent
Bachelor's Degree in Computer Science, Statistics, or related technical field
Ability to write clear, efficient, and testable code
Extensive experience in Data Modeling, both transactional and dimensional
Expertise developing large scale systems for data gathering and analysis
Strong problem solving and trouble shooting skills and an ability to come up with creative solutions to difficult problems
Experience or coursework in any scripting language, such as PERL, Java, and/or Python
Experience with distributed technologies (Hadoop, EMR)
Experience with Data Visualization technologies

121

Data Engineer Resume Examples & Samples

Explore alternate processing and scheduling platforms and build stable and operationally scalable pipelines using non traditional systems
Involve in laying the ground work of next generation reporting platforms and play a critical role in development of the reporting framework from the scratch
Design, implement, and support a platform that can provide ad-hoc access to large datasets
7+ years experience in relational database concepts with a solid knowledge of Oracle, SQL
5+ years experience with relational and star schema data modeling concepts
Experience in non relational development and big data technologies
3+ years experience with notable BI reporting tools, including administration, modeling, and report/dashboard development
Excellent knowledge of SQL, Linux, Amazon Redshift
Strong dimension modeling and reporting expertise
Masters or Bachelors in Computer Science or a related field
Experience with OBIEE 10g and/or 11g or any other reporting tool
Experience with Big Data Technologies is a big plus
Working knowledge of an Object oriented language

122

Data Engineer Resume Examples & Samples

3-6 years of experience performing quantitative analysis, preferably for an Internet or Technology company
Strong experience in Data Warehouse and Business Intelligence application development
Data Analysis: Understand business processes, logical data models and relational database implementations
Expert knowledge in SQL. Optimize complex queries
Basic understanding of statistical analysis. Experience in testing design and measurement
Able to execute research projects, and generate practical results and recommendations
Proven track record of working on complex modular projects, and assuming a leading role in such projects
Experience with scripting languages, i.e. Perl, Python etc. preferred

123

Data Engineer Resume Examples & Samples

Oracle and SQL performance tuning
Server management and administration including basic scripting
Basic Oracle DBA tasks
Ruby on Rails
Master's in Computer Science
Experience with reporting tools like OBIEE, Microstrategy and Tableau

124

Data Engineer Resume Examples & Samples

2+ years developing end to end BI solutions: data modeling, ETL and reporting
2+ years experience in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, OLAP, Linux
Exposure to large databases, BI applications, performance tuning
Effective communication and strong collaboration skills are requirements for the position
Experience with multiple database platforms is a plus
Experience with managing production database servers
Quantifiable success as a DBA
Thrives in a fast-paced, innovative environment

125

Data Engineer Resume Examples & Samples

Bachelor’s degree in Business Administrations, Computer Science, Information Systems, Engineering or equivalent experience
2 years SQL Server database query and reporting experience using ETL, data warehouse, and SSAS/SSRS tools
Experience with at least one full cycle of BI solution development and deployment, including product presentation and end user training
Experience managing software change requests and user access control
Ability to travel up to 25% of time globally based on project requirements
Master’s degree in Computer Science, Business Administration or related fields
Working knowledge of fundamental relational database design, data warehouse and Business Intelligence best practices, methodologies and terminology
3 Years working experience on Infor EAM software package, including: software configuration, dashboard development using Cognos, Microstrategy, Business Objects or SSRS reporting tools. One full cycle of software implementation experience is highly recommended
Working knowledge in EAM equipment hierarchy, object coding and naming convention
Strong knowledge in project development methodology, clear verbal and written communication skills, has the ability to handle daily activities in a dynamic environment and drive deliverables
Good presentation skills to different levels of audience, including executives and hourly employees
Support dynamic BI needs by summarizing and reporting key analytical findings

126

Data Engineer Resume Examples & Samples

You will design and build efficient, extensible, and scalable ETL and reporting solutions, which can provide access to large datasets and offer high-impact visualizations
You will apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements
You will interface with other engineers on the team for peer reviews and with a diverse set of customers (Program Managers, business stakeholders etc.) on understanding business objectives, gathering requirements and delivering complete reporting solutions
You will be challenged with a variety of tasks, ranging from server administration to metadata modeling to UI design
Design, implement and drive adoption of new analytic technologies and solutions
Promote industry standard best practices
Gaining a deep understanding of key datasets
Tuning query performance against large, complex data structures
Provide ongoing support for the reporting built
Bachelors or Masters in Computer Science or a related field
7+ years of experience with relevant technologies and of enterprise class systems implementations, such as large data warehouse, ETL, BI Application/Stack, Big Data. 2+ years
Strong data modelling skills and excellent knowledge of Oracle SQL, Linux
Experience with reporting tools like, OBIEE, Tableau, QuickSight, Cognos, and others
Familiarity with AWS RedShift and other distributed computing technologies preferred
Ideal candidate profile

127

Data Engineer Resume Examples & Samples

Interface with technology teams to extract, transform, and load (ETL) data from a wide variety of data sources
Design, implement, and support analytics and statistical models to drive key business decisions
Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting

128

Data Engineer Resume Examples & Samples

Bachelor’s degree in math, statistics, computer science, or finance or equivalent experience
2+ year of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst preferably in an internet-based company with large, complex data sources
Expert understanding of best practices to handle extremely large volume of data
Advanced SQL writing skills and solid experience with ETL
Ability to create extensible and scalable data schema that lay the foundation for downstream analysis
A clear passion for learning new BI skills and techniques independently and continuously
Ability to prioritize multiple concurrent projects while still delivering timely and accurate results
Experience mentoring others in SQL, modeling, forecasting and the use of large datasets
Proficiency with scripting languages and Unix systems (Python, perl, bash, etc.)
Experience with the following is a plus: AWS Redshift, EMR, Spark

129

Data Engineer Resume Examples & Samples

Bachelor's degree in Computer Science, Information Systems, Business, or related field
3+ years’ experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets
Experience with an object oriented programming language such as Python, C++, Java, etc
Experience in a high-level modeling language such as MATLAB, R, Stata, etc
Experience with Spark, Hadoop, and map-reduce concepts
Proficiency in using the typical Linux toolbox of open source software and management tools
Expertise in Hadoop ecosystem (HDFS, MapReduce, Spark, HBase, Hive, Presto, etc.)
Deep understanding of web services software architectural and design issues
Experience with cloud computing technologies
Experience in building automated analytical systems utilizing large data sets

130

Data Engineer Resume Examples & Samples

BA/BS in Engineering, Statistics, Computer Science, Mathematics or related field
3 to 5 years of relevant work experience
Advanced knowledge of SQL, Microsoft Excel (prior data mining experience a plus) and ETL
Advanced analytical skills and attention to detail
Experience driving small to medium sized projects.Organizational and multitasking skills with ability to balance competing priorities
A work ethic based on a strong desire to exceed expectations
Interpersonal skills — including written and oral communication skills
Ability to work with remote Business Intelligence teams based in the US and other geographies
6+ years of relevant work experience as a Senior Business Intelligence Engineer

131

Data Engineer Resume Examples & Samples

Deep MPP & Columnar database experience
Solid Linux skills
Experience with Redshift, ParAccle, Greenplum or Vertica
Experience with Map Reduce frameworks such as Hive/Hadoop is desirable

132

Data Engineer Resume Examples & Samples

Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
6+ years experience in dimensional data modeling, ETL development, and Data Warehousing
Experience with Redshift and/or other distributed computing systems
Solid experience in at least one business intelligence reporting tools
Master’s degree in Information Systems or a related field

133

Data Engineer Resume Examples & Samples

Bachelor's degree and/or Master's degree in Computer Science with 5+ years of industry experience
5+ years of experience as a MSSQL DBA in a high traffic, transactional environment
Experience with high-volume OLTP & OLAP database systems
Performance tuning of MSSQL, PLSQL, SQL processes and queries
Strong knowledge of systems architecture, loosely coupled and distributed systems
Day to Day Experience supporting highly scalable, distributed, service oriented systems
Ability to work cooperatively with software engineers and system administrators
Experience with system integrations, ETL, data warehouse, queries and stored procedures
Strong understanding of fundamental relational database design, data warehouse and Business Intelligence best practices, methodologies and terminology
2 Years working experience on Infor EAM software package, including: software configuration, dashboard development using Cognos, Business Objects or SSRS reporting tools
One full cycle of software implementation experience is required
Superior communication and analytical skills, including strong ability to identify and solve ambiguous problems
Master’s Degree in Computer Science or related field with 10+ years industry experience
4 Years’ Experience working with Infor EAM, Ion, and other related EAM Packages
5 years’ experience in developing BI solutions using Microsoft SQL Server Analysis Services (SSAS) and Reporting Services (SSRS)
Ability to build and maintain strong working relationships with DBA and application teams

134

Data Engineer Resume Examples & Samples

Working with business users in gathering and analyze reporting requirements
Leverage Amazon.com Data Warehouse platform to get access to critical business information to cater to the needs of the business
The engineer should be detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources & to design/construct complex analyses to finally come up with data/reports that meet the business' requirements
Routinely engage in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output
Use Data Warehouse database tuning techniques to speed-up performance of queries
Use Data Warehouse modeling techniques to design data structures that will provide optimal response times for storage and retrieval
Ability to work in a self directed environment. Take project and task ownership and drive them to completion
Support the team products operationally. Help debug and troubleshoot any operational production problems
Write and maintain user documentation
3-8 years experience with rich expertise in data modeling, developing reports, analytic dashboards, UI in Business Intelligence environment using OBIEE (preferably)

135

Data Engineer Resume Examples & Samples

Industry experience as a Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from large datasets
Significant experience in relational database concepts with an expert knowledge of SQL
Background in BigData, Machine Learning and Data Mining is a plus

136

Data Engineer Resume Examples & Samples

Design, build and own all the components of a high volume data warehouse end to end
Interface with business customers, gathering requirements and delivering complete data & reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources
Own the functional and nonfunctional scaling of software systems in your ownership area
Provides input and recommendations on technical issues to BI Engineers, Business & Data Analysts and Data Scientists
Must have excellent knowledge of Advanced SQL working with large data sets
Must have excellent dimensional modelling skills
Good to have experience with AWS technologies including Redshift, RDS, S3, EMR, EML or similar solutions build around Hive/Spark etc
Good to have experience with reporting tools like Tableau, OBIEE or other BI packages

137

Data Engineer Resume Examples & Samples

Design, implement, and support a self-service platform providing ad hoc access to large datasets
Provides input and recommendations on technical issues to BI engineers and business analysts
Knowledge of Advanced SQL and a programming language
Experience with AWS technologies including Redshift, RDS, S3, EMR, EML
Experience with big data platforms such as Hive/Hadoop/Spark etc

138

Data Engineer Resume Examples & Samples

This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience
Good work experience handling large data sets using SQL and databases in a business environment
Good working experience on processing data on relational databases like Oracle/SQL Server/ Redshift/Tera data
Effective communication and strong collaboration skills
Oracle, Redshift, Linux, OBIEE experience will be an advantage

139

Data Engineer Resume Examples & Samples

A good candidate has strong analytical skills and enjoys working with large complex data sets
A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies
A good candidate can cooperate with scientists, business analysts, and software engineers to deliver fast, robust data platform with good data integrity
Excellent knowledge of SQL, Linux, OLAP, Database and ETL
3+ years development experience with notable BI reporting tools like Oracle BI Enterprise Edition (OBIEE), Tableau, etc
Familiarity with Hadoop framework and Hive

140

Data Engineer Resume Examples & Samples

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
Model data and metadata for ad hoc and pre-built reporting
At least 3 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 5-10 years professional experience (experience in consumer-facing industry)
Proficient in writing complex SQL and PL/SQL queries. Development experience using ETL, Oracle and other databases in a business environment with large-scale, complex datasets
Hands on experience with data warehouse related technologies
Experience working with AWS technologies including Redshift, Dynamo, RDS, S3, EMR
Knowledge of Advanced SQL, a programming language, and scripting language like Python or Shell
Experience with data visualization using OBIEE, Tableau or similar tools
Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations

141

Data Engineer Resume Examples & Samples

3-6 years of experience managing data at internet scale
Strong experience in Data Warehouse concepts, ETL and Business Intelligence application development
Experience creating reports for executives reviews will be useful

142

Data Engineer Resume Examples & Samples

Develop and own org-level reporting for our Sales organization
As a part of the centralized BI governance team, own high-impact alignment and standardization projects across the organization
Have a highly visible role and be at the heart of the Marketplace 3P Seller recruitment business, owning critical reports that will be consumed country leaders, BI leaders and executive management across EU, JP and NA
Own key org-level executive reports that are consumed by our VPs and Directors as well as the weekly/monthly/quarterly reporting for our organization
Reporting to the Seattle office, you will take the lead role in our new BI team in Banglore. You will create and execute the necessary local training and development plans that support our worldwide plans
Proficiency in SQL and Microsoft Excel, experience with creating and publishing reports, using metrics and data to backup business cases, planning, and decisions
2+ years of relevant experience as a data engineer,
Experience in using databases in a business environment with large-scale data sets
Experience in gathering requirements, formulating the right data models and access tools when building comprehensive data decks
Experience with data visualization software
A Bachelor’s Degree in Computer Science, Mathematics, Statistics, Finance or related technical field
Proficiency in Tableau
Experience in data extraction, transformation, statistical analysis, predictive modeling

143

Data Engineer Resume Examples & Samples

Media and advertising domain expertise
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Excellent knowledge of Oracle SQL, Linux, Amazon Redshift
Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
SQL/Hadoop skills with ample experience handling large datasets

144

Data Engineer Resume Examples & Samples

Develop a deep understanding of AWS’ vast data sources and know exactly how, when, and which data to use to solve particular business problems
Bachelor’s degree in CS or related technical field and 6+ years of experience in data warehousing
4+ years of relevant experience with ETL, data modeling, and business intelligence architectures
Experience building self-service reporting solutions using business intelligence software (e.g.OBIEE, Tableau Server, etc.)
Demonstrated ability to work effectively across various internal organizations
Working knowledge of an object oriented programming language
Experience with applied data science or machine learning

145

Data Engineer Resume Examples & Samples

Developing tools for data processing and information retrieval
Support existing projects where evaluating and providing data quality is vital to the product development process
Analyzing, processing, evaluating and documenting large data sets
Manage data management issues
Bachelor’s degree in computer science or an engineering/technical field
0-3 years of working experience in relevant job experience
Working knowledge of Java and Python
Working knowledge of shell scripting (i.e. bash), Perl
Strong knowledge of mathematics and/or basic statistics
Curious and desire to analyze, maintain, optimize, data and associated functions
Software development background preferred
Strong troubleshooting and logic skills
Excellent written communication and oral communication skills
Robust knowledge and experience with statistical methods
Passion for data and data management
Experience with Hadoop and NoSQL related technologies such as Map Reduce, Spark, Hive, Pig, HBase, mongoDB, Cassandra, etc

146

Data Engineer Resume Examples & Samples

7+ years experience with detailed knowledge of data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and data security
5+ years experience in designing data warehouse solutions and integrating technical components
2+ years experience with any scripting language (Ruby, Python, etc.)
1+ year experience with production BI implementation in Cloud
Experience with Agile, DevOps, and CICD frameworks
Familiarity with different data formats and serialization(i.e. JSON, AVRO, etc.)
Familiarity with Linux/Unix scripting
Experience with Hadoop, MPP DB platform, other NoSQL (Mongo, Cassandra) technologies considered a big plus
Experience working with multi-terabyte data sets using relational databases (RDBMS) and SQL
Familiarity with schedulers, workload management, availability, scalability and distributed data platforms
Experience working in an Agile/Scrum framework
Previous leadership experience (i.e. Scrum Master on an Agile team) considered a big plus
Travel data domain experience considered a big plus
Strong data engineering background
Excellent problem-solving and debugging skills with a solid understanding of testing practices

147

Data Engineer Resume Examples & Samples

Minimum 2 years IT work experience focused on developing applications
Understanding of latest big data analytics trends and technologies
Experience with change management, software application testing and troubleshooting coordination, routine maintenance, and data management
Bachelor’s Degree in Information Systems, Information Technology, Computer Science, or Engineering or related discipline

148

Data Engineer Resume Examples & Samples

Processes and unit tests recurring data loads
Maintains data architecture and works to provide continuous innovation and efficiencies in data structures
Analyzes, evaluates and implements SW tools to support data operations
Provides input into to system interface agreements and system documentation
Writes scripts to load and manipulate TFDW data as required
Ensures the integrity of TFDW data
Implements software releases
Maintains the TFDW Metadata Repository
Provides status and data metrics
Provides level of effort estimates for future development tasks
Is lead author of the TFDW Subsystem Data Design Description Documents
Familiarity with working in teams
Familiarity with Marine Corps data and processes
TFDW familiarity a plus

149

Data Engineer Resume Examples & Samples

Providing thought leadership in the implementation of engineering solutions
Communicating with data scientists and statisticians
Researching and implementing the newest big data technologies to create solutions at scale
Identifying opportunities for improvement within existing software applications and frameworks
Acting as a source of knowledge and mentorship for non-engineering background data scientists
Being agile in a non-agile software development environment: setting your own deadlines and providing project status updates when necessary
2+ years experience in software development with a computer science bachelors degree or 1+ years experience with an advanced degree
Experience with big data tools like Spark and Hive
Experience with cloud infrastructure such as Amazon Web Services
Fluency with one or more high level programming languages (Python, Scala)
Experience with C or Java
Some computer science niche ability: Javascript/D3 web-stack hacker, low level GPU programmer, expert in parallel programming, infrastructure guru, puppet/packer/docker pro, etc
Deep understanding of computer science: Data structures and algorithmic complexity theory are the first things you think of when designing an algorithm
Ability to hack a solution together quickly and improve it later
Experience with standard software development practices including object oriented programming, functional programming, test based design
Linux pro with no fear of administering your own machines
Fan of not inventing the wheel by utilizing and improving open source solutions to complex problems
Exceptional problem solving skills with unrelenting focus on business implications

150

Data Engineer Resume Examples & Samples

Minimum of 3 years experience implementing large-scale production systems
Java is required
Hadoop, Cassandra, Kafka, Storm, Spark and other big data knowledge
OO design and implementation
High-volume deployment infrastructure

151

Data Engineer Resume Examples & Samples

Out of the box thinking and excellent verbal and written communication skills
Experience designing and developing large scale and optimized solutions using Teradata, Hadoop, SAS
Ability to develop data science solutions with basic understanding of statistical models
Developing reporting and dashboard solutions on multiple platform using visualization tools like Tableau
Explore and deploy new technologies towards supporting business goals
5+ years of experience in Data Warehouse/Business Intelligence space
Experience in implementing DW solutions on Teradata
Unix Scripting/Python
Experience in Marketing and Customer analytics domain
Knowledge of basic statistics/SAS is big plus
Experience with NoSQL/BigData solutions/Graph Db is a big plus

152

Data Engineer Resume Examples & Samples

Building an end-to-end solution involving both traditional Enterprise Data Warehouse infrastructure as well as Enterprise Data Lake infrastructure (Hadoop ecosystem)
Design and development of data transformation processes and pipelines
Migrate data from source systems such as mainframe, RDBMS, files into a data lake solution
Translate business requirements into technical artifacts (ETL/ELT processes, etc.)
Participate in reference architecture build out of data lake and data warehouse solution
Build EDW data models (dimensional) as well as Hive/HCatalog
Build role-level security implementation
Develop and execute enterprise self-service reporting environment on data visualization tools such as Tableau (served on custom portals built on JavaScript or .NET)
In depth experience in Hadoop ecosystem and expert level understanding
Strong experience with HDFS, MapReduce, Parquet files, Sqoop, Oozie, Zookeeper, Pig, Hive, Linux OS
Strong experience with Dimensional (Star Schema) modeling - preferably on MSFT SQL Server
Strong experience with MSFT SSIS
In depth experience implementing and using BigData environments - for analytics, storage, integration with other technologies

153

Data Engineer Resume Examples & Samples

Functional programming in Scala
Javascript, node.js, and mongodb
Infrastructure management on Amazon Web Services and Google Cloud Platform
Docker container deployment on Kubernetes
RESTful Web Service API development
Mobile development in Android and iOS
Experience in games or fast paced company such as growth phase startup

154

Data Engineer Resume Examples & Samples

Apply technologies to solve big data problems and to develop innovative big data solutions
Select, optimize and integrate data science tools and frameworks required to provide data science solutions for science teams
Implement complex big data projects with a focus on collecting, parsing, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms
Collaborate effectively with other technology teams and architects to solve complex problems spanning their respective areas
Develop, refine and scale data management and analytics procedures, systems, workflows, and best practices
Develop analysis techniques for unstructured data
Enable big data and batch/real-time analytical solutions that leverage emerging technologies
Code, test, and document new or modified data systems to create robust and scalable applications
Lead efforts in creating, refining, managing and enforcing data management policies, procedures, conventions and standards
Diagnose problems using formal problem-solving tools and techniques from multiple angles and probe underlying issues to generate multiple potential solutions. Proactively anticipate and prevent problems
Collaborate with other members of formal and informal groups in the pursuit of common missions, vision, values and mutual goals
Provide general and in-depth support/guidance for Blue Waters science teams in multiple areas of specialization
Engage the data science community to improve the capability and performance of data science software on HPC systems
Keep abreast of developments in the high-performance computing field, writing technical reports, conference and journal papers as appropriate, review scientific papers and proposals as appropriate
Participate in writing joint proposals with Blue Waters staff and/or application teams
BA/BS degree in engineering, mathematics, science, computer science, or related field. Alternative degree fields will be considered if accompanied by equivalent experience (depending on nature and depth of experience as it relates to current NCSA projects and technologies)
At least 1 year of experience working with real world data science applications
Master’s or Ph.D. in engineering, mathematics, science, computer science or related field highly preferred
Expertise with exploring, understanding, cleaning, and wrangling big data
Strong software engineering skills and a track record of contributing to software projects and collaborating with other developers
Parallel programming experience on high-performance computers including development, porting, and evaluating the scalability of one or more parallel libraries or applications written in Fortran, C, and/or C++, and utilizing communication protocols such as MPI and OpenMP
Working knowledge of the Linux operating system, a programming or data analysis language (e.g., Python, R, Stata), and databases (e.g., MySQL, Oracle, NoSQL)
Ability to work both independently and as a team member
Ability to manage multiple projects with competing priorities and deadlines, and an eagerness to take ownership of challenging and open-ended assignments
Effective at communicating with audiences whose technical backgrounds vary widely
Expertise with ETL processes, visualization tools, and web programming
Experience developing and presenting technical training material and web-based technical documentation

155

Data Engineer Resume Examples & Samples

Create APIs and use other integration techniques to facilitate the flow of data between systems
Liaise with the colleagues in the data team, analysts and customer strategy team to proactively understand their data needs, then create new data flows to collect the data and deliver data to the required end points
Format and load data as required by business systems
Supports Customer Intelligence and other marketing teams by designing file formats and integrations and testing then implementing those integrations
Manipulate data as required by Database Manager
Proactively identify data anomalies and rectify them
Support the Customer Intelligence team to ensure data is collected in line with the data strategy and data collection guidelines
Facilitate, manage and monitor the data flows necessary to support the Customer Intelligence team carry out its role
Works with the Database Manager to ensure database structures and content reflects business requirement
Monitors and ensures data field integrity
Create lookups and ensures existing lookup values are up to date
Keeps the data dictionary, supplier grid (data source directory) and other departmental documentation up to date
Supports the Database Manager with the maintenance of key systems such as Faststats, Mule, Alteryx, APIs and Acxiom ETL
Assists the Database Manager manage key data and database operations suppliers including the database bureau, data capture, email and sms suppliers
Creates and maintains service level agreements with key business partners and suppliers, ensures that they are adhered to and reflect CI dept. requirements
Ensures all suppliers send data in the correct format in a timely manner, ensures automated/API feeds are working
Understands and regularly reviews relevant supplier marketplace to ensure Customer Intelligence has the right suppliers
Understands impact of new legislation, industry trends and supplier development on data and flows
Proactively communicates updates and status reports from suppliers and about data with the team
Proactively identifies new data feeds and maintains good working relationships with Data/Business Analysts who will assist by identifying new data sources
Onboard/integrate new data in line with existing procedures and priority guidelines
Create and implement procedures to ensure data is catalogued and useable
Update existing procedures in line with working practice
Be familiar with and share knowledge of Time Inc data and security standards
Produce and analyse reports on a regular basis to show key metrics
Produce and analyse reports to show data metrics, ensuring the correct data is moving between suppliers and business systems
Create ad-hoc reports as necessary
Provide analysis of data, flows and reports as requested by the Database Manager

156

Data Engineer Resume Examples & Samples

Every few months, we have a “hack week” that gives our developers the opportunity to explore ideas that might not otherwise make it on the product roadmap
We are committed to career development. We offer a formal mentoring program as well as tuition reimbursement. We have frequent panel discussions and talks by industry leaders (Sheryl Sandberg, Melinda Gates and Ta-Nahesi Coates are a few recent examples)
We believe diversity fuels innovation and creativity, and we have a variety of employee groups dedicated to fostering a diverse and inclusive workplace
We offer a generous parental leave policy, which was recently expanded in response to employee feedback. Birth mothers receive 16 weeks fully paid, adoptive parents and birth fathers receive 10 weeks fully paid. Similarly, we offer competitive health and dental insurance, as well as 401k matching
Implement complex data projects with a focus on collecting, parsing, analyzing and visualizing large sets of data to turn information into insights across multiple platforms
Design and develop the data model(s) for the Data Warehouse, Data Marts or NoSQL solutions which will be vetted by the team and or guided by the Senior Data Solutions Architect
Take ownership of the warehouse solutions, troubleshoot issues, and provide production support
Generate reports using a variety of reporting tools such as Business Objects, Tableau, Pentaho
Work with team of developers who are transitioning current in-house data warehouse solution to Google Cloud platform
5+ years experience building traditional data warehouse solutions, are knowledgeable about data modeling, data access, and data storage techniques
You understand standard methodologies for ETL, and are proficient in debugging and optimizing pipelines
You can easily transition from one ETL tool set e.g., Informatica to Kettle to more programmatic approaches such as Python/SQL or Spark/Scala
Extensive Experience with SQL and understanding of NoSQL solutions
You have significant coding experience in Java, Python and want to apply those skills to processing big data
5+ years experience with object-oriented design, coding and testing patterns as well as experience in engineering open source software platforms and large-scale data infrastructures
You have an understanding of distributed systems, NoSQL solutions such as Redshift or BigQuery
Familiar with Google Cloud or other cloud provider products and servers
You are able to work in teams and collaborate with others to clarify requirements
You have a Bachelor’s degree or Master’s in information Technology or relevant discipline
Experience with automation, build tools, release engineering
Bonus: Experience with Spark/Scala, distributed data systems and MPP databases

157

Data Engineer Resume Examples & Samples

Understand complex environment of internal and external data assets and technology systems to identify opportunities to create efficiencies as well as acquire new data sources to enhance current portfolio of data assets for monetization purposes
Design and implement processes to test/assess new and existing datasets and understand data quality and viability as they relate to Honeywell’s use-cases
Create data source documentation that compares/contrasts “like” datasets leveraging critical data points, such as, quality, quantity, investment, implementation, scale, benefits, velocity, etc
Make clear and confident recommendations to leadership based on analysis and due-diligence that align with business goals
Coordinate the evaluation and implementation of the tools and processes to build the organizational readiness and processes to support strategic data acquisition

158

Data Engineer Resume Examples & Samples

4+ years professional experience as data scientist, software engineer, business intelligence engineer or equivalent
3+ years work experience with ETL, Data Modeling, and Business Intelligence delivery
MS in Computer Science or Statistics equivalent
Experience building scalable infrastructure software or distributed systems for commercial online services
5+ years of demonstrated quantitative and qualitative data science experience
Experience building complex software systems that have been successfully delivered to customers
Experience with processing large data sets and generating analytics
Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices

159

Data Engineer Resume Examples & Samples

Developing new 'fast-data' systems like Spark to lay the pathway to hasten the generation of data-based insights
Working with data in HDFS, HIVE, Spark, Kafka, and MySQL with a high level of expertise
Proven experience in a data engineer role
Solid years' experience in designing, delivering and managing data environments/data assets
Experience of working with various cloud technologies, including knowledge of EC2, S3, Cloudera Hadoop incl. Spark and Kafka would be advantageous
Proficiency (Mastery level) in Python and/or Java, Hive
Knowledge of the Life Insurance Market
Experience of design focussed development

160

Data Engineer Resume Examples & Samples

Responsible for administration (i.e. planning, designing, implementing, configuration, tuning, monitoring, maintaining) of 100s of enterprise level relational (i.e. DB2) databases
Ability to identify the data needs of a project and the Data Sources by analyzing the business requirements of a project and translate that understanding into Conceptual Data Architecture solutions
Prepare Logical Data Model (Entity-Relationship Model) using modeling tools by including the Data Definition and Relationship Definition to design the database
Provide general support for all environments (Dev, Testing and Production) across multiple data centers (w & w/o replication) demonstrating strong analytical and problem solving skills
Review and accurately analyze all database changes (and make recommended changes if needed) prior to approval of any RFCs on the NGI Database Platform
Ensure tools and processes are in place to enable access to and reuse of data assets
Identify data quality or standard issues and provide a conversion strategy for implementing solutions
Required Skills/Qualifications
Must work in the Phoenix, AZ based office collocated in close proximity with the existing NGI PSG DB Team. NOTE: Typically hours are customary business hours but must be willing to work flexible hours to meet the customer/project needs and timeslines
DB2 Subject Matter Expert (SME)
AIX SME preferred
Self driven and highly motivated requiring little to no supervision
Exposure to No SQL DBs like MongoDB Fluency in Oracle is a plus

161

Data Engineer Resume Examples & Samples

Manage data warehouse plans for a business vertical
Build data expertise and own data quality
Conduct design and code reviews
Partner with stakeholders to understand business requirements, work with other teams in the business to build efficient and scalable data solutions
Work with data infrastructure to manage infra issues and drive resolutions
Manage delivery of high impact dashboards and data visualizations
Design, build, launch new and existing data models and ETL processes in production
Strong data architecture, data modeling and schema design experience
8+ years hands on experience in SQL or similar languages
Development experience in atleast one scripting language (Python preferred)
8+ years in hands on experience in data warehouse space, custom ETL design, implementation and maintenance
Strong communication skills and previous experience in leading data driven project (interpretation to execution)
Experience with large data sets, Hadoop and data visualization tools will be a plus
Able to initiate, drive projects and communicate data warehouse plans to internal stakeholders

162

Data Engineer Resume Examples & Samples

Develop core capability in making sense of data collected by our sensors through machine learning, deep learning, and other advanced analytical techniques
Idenify and utilize existing tools and algorithms from multiple sources to enhance confidence in the assessment of various targets
Identify and utilize existing tools and algorithms for the detection, classification, and identification of targets in remotely sensed imagery, including electro-optical (EO), infrared (IR), multispectral (MSI), hyperspectral (HSI), synthetic aperture radar (SAR), and LIDAR
Identify and utilize techniques to fuse information from multiple intelligence sources, including GEOINT, ELINT, SIGINT, MASINT, and HUMINT
Collaborate with defense labs, national labs, industry partners, and academia in the application and transition of tools and algorithms
Manage the system configuration of static and cloud-based platform environments hosting a variety of data fusion and advanced analytic tools
Collaborate with business development and program managers in the writing of proposals to fund activities related to data science and its application
Assist Information & Intelligence Discipline Chief in the development of a strategic plan for operationalizing tools developed for multi-source and multi-INT data fusion
Collaborate with Data Scientists to transition newly developed algorithms into the configuration managed system of Big Data analytical tools
Strong math and statistics background
Experience utilizing existing tools for data mining, Big Data analytics, machine learning, Deep Learning, computer vision, and/or other related topics
Experience working with remotely sensed data and imagery (airborne or spaceborne)
Experience developing these types of solutions for the defense and/or intelligence communities
Programming skills in any of R, Python, Matlab, IDL, C, C++, CUDA or similar

163

Data Engineer Resume Examples & Samples

Empower the business - Support the business to unearth data, transform data, access data, understand data and exploit data
Create awesome software - Use agile techniques to build software and platforms like recommendation engines, analytics engines, advertising engines
Prosper with us - Work with devops, analysts, data scientists, programmers, marketers, filmmakers, finance, project management, product management and leaders to do amaze, surprise and delight
XP - 5+ years of programming experience and 3+ years of data pipeline experience. Academic and hobby experience counts
Speak the language - Be willing to create prose with Java, Kotlin, Scala, SQL, Python, TypeScript, Zsh, or lambdas. Know which to use for the time & purpose
<3 data - Hypothesize, discover, collect, iterate and prove
Achievement Unlocked: Inquisitive, Determined, Scholar - Be up for the challenge
#algorithm and #datastructures fantatic - Have gorged on distributed, parallel and probabilistic algorithms and data structures
Build > buy - Know the power of seeking out and putting together the right open source into a highly flexible and cohesive system instead of purchasing a solution that delivers a portion of the need, stops you from delivering the rest and ties you to your pricey investment

164

Data Engineer Resume Examples & Samples

Solid Oracle and Linux skills
Experience in at least one reporting tool
Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
Experience with NoSQL data stores
Experience with Amazon Redshift and other AWS technologies

165

Data Engineer Resume Examples & Samples

Acquire a working knowledge of customer data in all Burberry enterprise systems (Core ERP, Analytics Platform, E-Commerce, Point-of-Sale and CRM platform) and support Data Governance function with knowledge on customer data sets and processes
Methodically assess business requirements for new data sources with Business Analysts, provide design recommendations in partnership with Solution Architects and integrate into implementation roadmap
Work closely with near shore development team acting as a bridge between developers and analysts, supporting the Data Manager with day-to-day project involvement and partner with IT stakeholders where appropriate
Design and manage the processes and metrics to monitor data quality, whilst improving data availability to business users
Identify data quality issues, proactively communicating to affected stakeholders and take ownership through to resolution
Provide business quality assuring of IT projects involving customer data capture and usage, ensuring applicable standards are consistently adopted
Act as an evangelist across the organisation for customer data as a key asset to the business and enforce processes in accordance to data management guidelines
Define and oversee implementation of permission policies and procedures relating to customer data and customer reporting

166

Data Engineer Resume Examples & Samples

Working knowledge in one or several related skill-sets such as
Acquiring/integrating data within a distributed environment
ETL pipeline development
Data cleansing
NoSQL databases (Redis, HBase, Cassandra, CouchDB, ElasticSearch)
Foreign language skills a plus
U.S. Citizenship
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP)

167

Data Engineer Resume Examples & Samples

This position requires a Bachelor's Degree in Computer Science or a related technical field, and 8+ years experience
Experience with ETL, Data Modeling, and working with Business Intelligence systems
Experience with processing large, multi-dimensional datasets from multiple source
Experience in monitoring and automated reporting
MS or PhD in CS or another quantitative field
Experience processing large, multi-dimensional datasets
Experience with Java and Map Reduce frameworks such as Hive/Hadoop/Spark
A passion for technology
Someone who is keen to leverage their existing skills while trying new approaches

168

Data Engineer Resume Examples & Samples

1 year experience developing ETL/ ELT solutions within a Data Warehouse environment
1 year of experience in using SQL, PL/SQL, Shell scripting
Strong critical thinking and attention to detail
Experience in big-data using Hadoop, Hive, and other open-source tools/technologies
Experience in designing and building large data warehouse systems
Good working knowledge of Oracle environment
Good work experience in BI Reporting tools and databases in a business environment

169

Data Engineer Resume Examples & Samples

Minimum of 3 years software development experience
1 + year experience working with traditional, SQL-oriented database techniques and technologies
1+ year working with Hadoop or related technology

170

Data Engineer Resume Examples & Samples

Ability to work with high volume heterogeneous data, preferably with distributed systems such as Hadoop
Experienced with batch and real-time data processing frameworks like Crunch, Scalding, Storm, Kafka, or Spark
Knowledgeable about data modeling, data access, and data storage techniques
Experience with agile software processes, data-driven development, reliability, and responsible experimentation
Experience working on open source or other data-related projects

171

Data Engineer Resume Examples & Samples

5+ years Business Intelligence related experience
Excellent Knowledge of Data Warehousing and ETL
Excellent Knowledge of Data Modeling
Excellent knowledge of SQL and Scripting languages
Broader understanding of BI technologies and choose the right technologies according to the use case
Experience of BI visualization tools (tableau, OBIEE, MicroStrategy, etc.)
Big data analytic technologies: Hadoop, EMR, HIVE, etc
Experienced of Redshift and AWS related technologies

172

Data Engineer Resume Examples & Samples

Write clear, efficient, tested code
Develop code as part of a wider team, contributing to code review and solution design
Contribute to both program and system architecture as appropriate
Java (or other significant OO language with desire to learn Java)
Commercial experience with Linux, and use of a version control system (preferably Git)
ETL/ data load process development
Hive (and other SQL-on-Hadoop tools)
Oozie
Other Hadoop data processing tools (Cascading, Spark, Pig, MapReduce etc.)
Other Big data/ NoSQL technologies
Microsoft SQL Server

173

Data Engineer Resume Examples & Samples

Develop clean and well-structured JavaScript for front-end data capture with an eye for compliant, cross-browser, cross-device, and standards-based code
Influence development and deployment patterns and best practices through code contributions and reviews
Develop real-time data feeds and microservices leveraging AWS Kinesis, Lambda, Kafka, Spark Streaming, etc. to enhance useful analytic opportunities and influence customer content and experiences
Develop and monitor batch Hadoop data and query processes and apply Spark, Spark Streaming, and other evolving tools to improve toward central unified real-time logging and microbatching
Research and monitor data quality and issues via structured and unstructured query languages (SQL, ElasticSearch/Kibana, etc.)
Influence and improve data quality by developing and instrumenting application monitoring, health checks, health metadata, and self-healing processes to ensure high reliability and uptime
Automate all of the above where possible to further improve code, application, and data quality
Grow to be a technical subject matter expert for proprietary optimization and analytics efforts
Partner with optimization analysts, system administrators, and project managers to design, build, deploy, and capture effective metrics
Support fellow engineers, business and technology partners, and project stakeholders, contributing to both internal and external open source projects and standards
Prioritize daily workflow and demands on quality, time and resources
Meet all requested development objectives and deadlines as assigned by the engineering manager
Participate in agile and continuous planning ceremonies and provide input on stories, requirements, and acceptance criteria as needed
4-6 years professional experience in JavaScript/HTML/CSS minimum
4-6 years professional experience with database-driven commercial websites
2-4 years experience with a server scripting language (node, Python, Java, Ruby)
1-2 years experience with cloud infrastructure and ops desired (AWS)
Advanced Git
Demonstrated experience with test and build automation tools (PhantomJS, Casper, Selenium, Grunt, Guard)
Experience with Test- and Behavior-Driven Development preferred (Mocha, Chai, Cucumber, etc.)
Experience with bug tracking and workflow applications/tools (we use Atlassian)
Experience working in agile frameworks and processes (Kanban)
Advanced problem-solving and troubleshooting skills
Sound organizational, negotiation and decision-making skills
Ability to work independently or as a part of an interdisciplinary team
Demonstrated ability and drive to learn new technologies, tools, and processes
Desire and ability to train and share knowledge with team members and other technical teams
A bachelors degree or better in Computer Science, Management Information Systems or equivalent experience

174

Data Engineer Resume Examples & Samples

Develop and monitor batch Hadoop data and query processes and improve toward central unified real-time logging and microbatching
Develop and instrument application monitoring, health checks, health metadata, and self-healing processes to ensure high reliability and uptime
Grow to be a technical subject matter expert for online optimization and analytics efforts
2-4 years professional experience in JavaScript/HTML/CSS minimum
2-4 years professional experience with database-driven commercial websites
Experience with a server scripting language (node, Python, Java, Ruby)
Experience with cloud infrastructure and ops desired (AWS)
Experience with Git or other version control system
Experience with test and build automation tools (PhantomJS, Casper, Selenium, Grunt, Guard)
Experience with Test- and Behavior-Driven Development (Mocha, Chai, Cucumber, etc.)
Experience with bug tracking and workflow applications/tools
Desired experience working with agile frameworks and processes (e.g., Scrum, Kanban)
Ability and drive to learn new technologies, tools, and processes

175

Data Engineer Resume Examples & Samples

3+ years of working with large data sets and strong data analytical skills to identify patterns/correlations
3+ years of BI reporting tool experience. Tableau and Excel is preferred
Familiarity with Hadoop framework, Hive and Redshift

176

Data Engineer Resume Examples & Samples

Develop, and maintain scalable, automated, user-friendly systems that will support our analytical and business needs
Work with different stakeholders within and outside the Product Replenishment organization to integrate data sources to create a unified data infrastructure
Scope, build, and maintain data infrastructures for new business initiatives
Demonstrated ability in ETL development, survey platforms, and Data Warehousing, or similar skills
Experience with reporting tools like Tableau or similar BI tools
Experience working in very large data warehouse environments

177

Data Engineer Resume Examples & Samples

Bachelor's Degree in Information Systems, Information Technology (IT), Computer Science or Engineering (or related IT degree)
Minimum of 3 years of experience with technical implementations
Minimum of 3 years of experience in software development and implementations
Minimum of 2 years of experience designing data model solutions for various applications
Detailed understanding of technology infrastructure, application structures, and database technologies
Demonstrated ability to deliver creative technical solutions
Excellent technical problem solving skills
Project management skills, Project Management Certification
Experienced software engineer with exceptionally strong coding, debugging, and design skills
Experienced in application and enterprise architecture, with emphasis on data management, integration, and data transformation
Experienced with effective application architectures and object oriented development, and software engineering methodologies, especially in cloud environments
Multiple years of experience using scripting (Python, Perl, Shell, etc) and working on databases such as PostgreSQL, Oracle, SQL Server, and/or time series databases
Project management and team leadership experience, project management certification
Experience with the GE Predix platform
Resourceful and quick learner; able to efficiently seek out, learn, & apply new areas of expertise in a fast paced environment
Proficient with agile methodologies, scrum master
Working experience in cloud environment
Possesses strong problem solving and analytical skills
Strong technical aptitude and a passion to expand technical expertise
Strong team player – collaborates well, partners to solve problems and actively incorporates input from various sources
Demonstrated strong oral and written communication skills
Strong working knowledge of contemporary security practices
Self-starter - requires minimal direction to accomplish goals

178

Data Engineer Resume Examples & Samples

This position requires a Bachelor's Degree in Computer Science or a related technical field, and 3+ years of relevant employment experience
5+ years work experience in using SQL and databases in a business environment
Experience operating very large Data Warehouses
Expertise in Data Visualization
Linux skills will be an advantage

179

Data Engineer Resume Examples & Samples

Data science and engineering: Design and develop software systems to deploy data science solutions
Business Consulting:Possesses in-depth business knowledge; Initiates and drives discussions with business partners to identify business issues needing analytic solutions
Insights Operationalization:Develops processes to automate and scale insights operationalization
Project Management:Develops and drives multiple cross-departmental projects
Analytics Evangelism:Establishes brand and team as subject matter experts in Advanced Analytics across departments
MS+ w/ concentration in developing and deploying data science models related to search, text analytics, recommendation models, etc in cloud infrastructure (AWS/AZURE)
Ability to productionize data science algorithms including machine learning models
Advanced competency and expertise in several techniques Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)
Works independently with guidance in only the most complex situations
Solves complex problems and develops new solutions

180

Data Engineer Resume Examples & Samples

2) 6+ years of experience working with OpenVMS Operating System. Other VMS systems would be acceptable
3) 6+ years of experience working with Access and Excel
4) Database experience. Ingress preferred. Oracle, SQL Server, and others okay
Programming Languages: SQL, QUEL, FORTRAN, VBA
Productivity Applications: Access and Excel. Spotfire knowledge is a plus, but not required
Database: INGRES, SQLServer, Oracle, and making ODBC connections
General awareness with OpenVMS Operating System
Experience with SSIS, SSRS, and SSAS
Be aware of the nature of the data populated in tables and how to write queries to occasionally do ad-hoc data extraction
B.S. in Computer Science, Computer Engineering, or similar
Must have a minimum of 3 years of programming background
Experience in batch processing and Command Line Interface
Enjoys problem solving and has the ability to reverse engineer relationship between interlinked scripts and tables that are updated in daily, weekly, and monthly batch jobs
Experience with Command Line Interface / Dynamic Line Interface
Team work and open communication. Actively find and present work-flow bugs and opportunities for improvement. Write clean, well structured, and easy to understand code. Commit code after team agreement. Take ownership of the product to ensure correct numbers are populated
Follow work-flow in a systematic, and organized manner. Update team documents to ensure work-flow is documented

181

Data Engineer Resume Examples & Samples

Bachelor's degree in Engineering/Math/Statistics or related discipline
3+ years of experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
3+ years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
Master's degree in Engineering or Math/Statistics/Finance or related discipline
5+ years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
2+ years of experience scripting using Perl, Ruby, Python, or other programming languages

182

Data Engineer Resume Examples & Samples

Work with our Identity team on machine learning algorithms
Conduct data analysis for discovering patterns, calibrating and improving algorithms
Design, implement and test distributed computation algorithms using Apache Spark / Hive
Engage with and shape MediaMath culture: write blog posts, organize tech talks, improve internal processes
BS/MS in Computer Science, Mathematics, or related field of study
First experience with big data computation and tools (Apache Hadoop / Spark, SQL, etc.)
Experience writing REST APIs
AWS experience a plus
Eager to learn and test new technologies

183

Data Engineer Resume Examples & Samples

Be one of the key builders of a new BI governance model, data infrastructure and org-level reporting for our Sales organization
Represent our organization in data engineering initiatives across Amazon
Be at the heart of the Marketplace 3P Seller recruitment business, interacting with country leaders, BI leaders and executive management across EU, JP and NA
Own key org-level executive reports that are consumed by our VPs and Directors
Be one of the key builders of the “Business Insights platform” that will be used by global sales teams worldwide to access reporting, deep dives, and seller insights
Have direct impact on all Marketplace (3P) Seller recruitment channels (direct sales, self-service registration, existing Seller growth) across North America, Europe, Japan, China, India, and countries like South Korea and Singapore where we do not have a marketplace site
Proficiency in SQL and Microsoft Excel, experience with business intelligence tools
3+ years of relevant experience building data models, creating reports, using metrics and data to backup business cases, planning, and decisions
Experience in projects involving cross-functional teams and successfully completing complex/large scale projects
Experience with data visualization software, preferably Tableau

184

Data Engineer Resume Examples & Samples

Approximately five years of experience in information systems development, focused on processing large volume, near-real time data feeds to meet data analytics and security requirements
Demonstrated experience as a SME to prioritize and meet tactical and strategic requirements for frameworks and systems to process data
Over five years demonstrated experience with delivering integrated and scalable solutions using the LexisNexis, ECL, and Pentaho platforms
Demonstrated work experience delivering solutions applying industry standard Agile methodologies

185

Data Engineer Resume Examples & Samples

Experience working with business owners to define key business requirements and convert to technical specifications
Ability to write high quality, maintainable, and robust code, often in SQL, PL/SQL
Expertise in Star Schema data modeling
Experience handling Bigdata volumes
Exposure/Experience in Bigdata Technologies (hadoop, spark, presto, etc.)

186

Data Engineer Resume Examples & Samples

Receives assignments in the form of objectives and designs data warehouse and business intelligence technology solutions to meet those objectives
Engages with team members including data analysts and data scientists to understand the data needs of the warehouse, turn them into logical patterns or requirements, and structure solutions as required by the business
Employs data architecture best practices
Run ETL (extract, transform, load) processes to populate data warehouse confirming data integrity
Recommends data integrity standards including frameworks and templates, naming conventions, coding standards, and file formats
Works with IT to leverage systems and tools to enhance business intelligence
2-5 years of applicable work experience preferably in data science, software engineering, or business intelligence
Comfort working with large, complex data systems to aggregate, organize, and prepare data for use in business analysis
Working knowledge of relevant software packages for data management, statistical analyses and visualization. Potential tools include SQL Server, R, Python, Tableau, and Power BI
Expertise in data architecture best practices
Ability to work with large amounts of data, including checks for integrity, summation, and completion
Effective communication skills (written and verbal) for interaction with both internal and external stakeholders
Demonstrated capacity to become “expert” in new topics and disciplines quickly
“Self-starter” attitude with the ability to excel in dynamic work environments

187

Data Engineer Resume Examples & Samples

Bachelor’s degree in computer science, IT or equivalent technical discipline, or approximately 3-5 years’ work experience in relevant focus areas
Over two years demonstrated experience with delivering integrated and scalable solutions using the LexisNexis, ECL, and Pentaho platforms
Over one year in relevant technologies (current examples include Java, ECL, Pentaho, Oracle, NoSQL, Kafka, FLUME)

188

Data Engineer Resume Examples & Samples

Applies broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse life cycle phases to design an integrated, quality solution to address the business requirements
Meets and collaborates with business users on requirements, objectives and measures
Designs the technology infrastructure across all technical environments
Designs and plans for the integration for all data warehouse technical components
Supervises the technical implementation of the data warehouse and oversees hardware/ software configuration
Provides input and recommendations on technical issues to the project manager
Reviews technical work of other team members
Reviews and participate in testing of the data design, tool design, data extracts/transforms, networks and hardware selections
Develops the implementation and operation support plans
3+ years of experience in architecting data warehouse solutions and integrating technical components
Experience in relational database concepts with a solid knowledge of Oracle, SQL and PL/SQL
Experience in any big data technologies - Hadoop Eco Systems, EMR, Aamazon Redshift or advanced analytics tools will be plus
3+ years of working with very large data warehousing environment
Demonstrated knowledge and experience in capacity planning for hardware and storage needs
Experience with Informatica preferred
Knowledge of OBIEE is preferred

189

Data Engineer Resume Examples & Samples

Build data extraction tools using various technologies to capture 3rd party data
Design & delivery of ELT scripts for use on both traditional & emerging data platforms
Build & support Data solutions including Netezza Views, Data Models, Reporting solutions, etc
Work with Data Scientists to build tools that allows users to interact with predictive models
Execute data mining activities providing insight from datasets
Build Hadoop jobs to transform data into analytics datasets
Work with Project Management to provide timely estimates, updates & status
Manage and resolve issues on a 24X7 basis as part of an on-call rotation
Collect requirements, design and deploy high-availability, robust, resilient and supportable solutions

190

Data Engineer Resume Examples & Samples

Build data and data quality expertise for areas of responsibility
Support data scientists, analysts, and product owners by cleaning, transforming, and augmenting data sets for analysis
Drive ETL implementation and identify areas for automation and optimization
Work with IT to triage and resolve data quality issues
Create and maintain documentation of data sources and ETL pipelines
Review existing data models and make recommendations for improvement
Design, build, and launch new data models for products
Bachelor's Degree in CS, Math or relevant major
3+ years pertinent experience

191

Data Engineer Resume Examples & Samples

Works closely with BI Architect, Data Architect and DBA in the delivery of the ETL Applications
Works closely with project manager to develop work plan for Data Warehouse projects and keep the manager aware of any issues
Under limited supervision, lead the day to day activities of the Data Warehouse and Business Intelligence development project team including management of offshore teams
Lead, provide guidance and mentorship to new/junior ETL developers
Establish, publish and enforce procedural guidelines and standards to be followed by the DW and BI development staff
Participate in production support activities; Troubleshoot and resolve data, process and system issues
Build/extend toolsets and maintain system documentation

192

Data Engineer Resume Examples & Samples

Develop, and maintain scalable, automated, user-friendly systems that will support the analytical and business needs of a large and growing organization
Work with different stakeholders within and outside the retail organization to integrate data sources to create a unified data infrastructure
Scope, build, and maintain data infrastructures for scaling the existing business and supporting new business initiatives
Degree in Computer Science, Engineering, Mathematics, Physics, or a related field and at least 3-5 years work experience
Experience with Redshift, Teradata, Vertica, etc
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Experience building data products incrementally and integrating and managing datasets from multiple sources
Experience with Linux/UNIX to process large data sets

193

Data Engineer Resume Examples & Samples

Partner with Devices Central FP&A, online and offline channel finance, product management finance, and operations and development finance to develop a shared reporting platform as well as reporting tools to support custom specialized reporting needs
Collaborate with both the corporate accounting and central FP&A teams to understand the interdependencies and deliverables
2+ years finance information systems leadership with progressively increasing levels of responsibility
Extensive SQL and database skills with ability to deep dive into data logic
Demonstrated ability to understand financial reporting needs and develop custom reporting and metric tracking information systems

194

Data Engineer Resume Examples & Samples

Implementing mechanisms to aggregate business case data and produce views of the data at various levels of granularity (e.g. firmwide/by CIO/CTO/CBT)
Implementing tooling to regularly extract/aggregate existing reference, financial and operational data to support consistent portfolio analysis
Identifying gaps in existing reference, financial and operational data related to the above, and driving tactical and strategic resolutions to these gaps
Experience working within a large global organization
Extensive experience in Systems Engineering/Development, concentration in data aggregation and presentation preferred
Experience of working in a matrix management model, utilizing virtual teams
Strong negotiating skills, comfortable executing against recommendations & plans by overcoming barriers and resistance
Ability to forge strong relationships and build a wide network throughout the firm

195

Data Engineer Resume Examples & Samples

Degree in CS or related field
4+ years of industry experience
Experience building scalable data schema
Experience with ETL and data warehousing
Experience with relational db
Experience with non-relational data technology
Experience using command line tools
Be awesome
Experience with Elastic Search
Experience with AWS Redshift
Experience with AWS Kinesis
Experience developing scripts

196

Data Engineer Resume Examples & Samples

Design and implement Big Data ETL services
Utilize experience in end-to-end knowledge of unstructured data warehousing
Implement machine learning processes into a production environment
Help develop and maintain our enterprise unstructured data warehouse
Work directly with stakeholders and the rest of the BI team

197

Data Engineer Resume Examples & Samples

Performs transformation of logical data architectures into physical data designs, according to database design best practices and standards
Ensures optimal data replication, performance, High Availability, backup and recovery processes exist to meet requirements, reduce cost and adhere to standards
Contributes to development of plans and strategies, best practices, and standards related to data management processes, data products, data security and programs
Partners with delivery architects and engineers to design data tier solutions to meet enterprise platform objectives and goals
Contributes to decisions about tools, methods and approaches
Programming Languages and Frameworks

198

Data Engineer Resume Examples & Samples

3+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or equivalent work experience
Good knowledge of SQL, Linux, Oracle and OLAP
Interface with global HR customers, gathering requirements and delivering complete BI solutions
Use analytics to solve business problems. Proactively and continually improve your level of knowledge about Amazon’s business and relevant data resources
Create reports and dashboards that will provide transformed data to the business
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
Report results in a manner which is both statistically rigorous and compellingly relevant

199

Data Engineer Resume Examples & Samples

Follows data placement procedures and re-use of existing databases when possible
Builds and enhances database design and infrastructure required to support the Business portfolio
Performs database design review and supports database testing
Provides production environment support for database systems and processes
Write instructions to guide database operators during production runs
Work on assigned database features for ongoing sprints and manage database requirements based on industry trends, new technologies, known defects, and issues
Function as an active member if an agile team through consistent development practices (tools, components, and documentation)
Identify opportunities to adopt innovative technologies
Familiar with Agile or other rapid application development methods
Experience with design and development across one or more database management systems (e.g. IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate
Hands-on expertise with database design and development and automated testing
Demonstrated experience in understanding of Big data technology and NOSQL design and coding with variety of data stores (document, column family, graph, etc.)

200

Data Engineer Resume Examples & Samples

Support and improve existing (50%), and create new (50%) Oracle and SQL server data repositories, including ODS and contribute to Datawarehouses
Troubleshoot data related issues for supported applications
Proactively identify and communicate risks and issues to management and create mitigation action plans
Work on strategic initiatives including technology selection, research and development and process improvement
3+ years developing DFDs, CRUD Matrices and related data design artifacts
5+ years of expertise and experience using SQL for both SQL Server and Oracle (DDL, DML, DCL, TCL) as well as expertise with scripting tools such as TOAD
Proven history of successfully bringing innovative solutions to complex problems
Experience coding in PL/SQL (Oracle) and T-SQL (SQL Server)
Understanding of the financial services industry, specifically disability insurance
Familiarity with ACORD (Association for Cooperative Operations Research at Development) standards

201

Data Engineer Resume Examples & Samples

Utilize your expert knowledge of SQL and transactional data stores to engineer and administer data pipelines between our data warehouse and application layer
Work through data pipeline problem sets quickly and deliver solutions that scale
R&D increasingly efficient data infrastructures that support a distributed and scaled web application layer
Experience engineering large-scale data infrastructures
2+ years of Dynamic SQL experience utilizing T-SQL to design and administer data pipelines
Ability to evaluate the scale of data problems and determine the optimal solutions for those problems
Familiarity with agile development and lean startup methodologies
Experience with automation and shortening of data pipelines around large-scale enterprise systems
4 year degree in Computer Science, Information Systems, or other related discipline, OR equivalent professional experience
Familiarity with ETL process
Familiarity with No-SQL data stores

202

Data Engineer Resume Examples & Samples

Work closely with business users in defining data quality defects
Define data quality measurements and develop dashboards to provide insights
Coordinate with the business ERP teams, project teams, and GDC to analyze project results and performance
Perform project management and ensure milestones are met and deliverables achieved
Provide technical and analytical support for data quality process & improvement initiatives
Assist in development of new process capabilities and tool identification to enhance service delivery
Bachelor's Degree in Information Systems, Information Technology, Computer Science or Engineering (or a high school diploma / GED with at least 5-7 years of experience in the application of information technologies to business solutions
Hands on experience on ETL tools and visualization tools like tableau, Qlikview etc…
Knowledge of SCM and Financial modules of any ERP (SAP or Oracle)
2-3 yrs of experience of being part of ERP data conversion/migration projects and delivering high quality data
Experience of working on Data stewardship platform from backoffice associates
Good understanding of Data conversion methodologies
Good customer management skills
Excellent oral and written communication, presentation, and interpersonal skills
Good understanding of key data quality and governance frameworks
Experience with back office tools and/or any other data quality tool kits
Working knowledge of and use of Project Management methodologies, tools and software
Working knowledge and/or experience with enterprise ERP solutions (e.g. Oracle, SAP)
Green Belt certified (GE employees only)
Strong customer service mindset, with the ability to build, maintains, and enhance relationships

203

Data Engineer Resume Examples & Samples

Bachelor's degree in computer science or a related technical field
4+ years of relevant employment experience
Experience operating 100TB+ Data Warehouses
Experience with Amazon Web Services
Exposure to NoSQL technologies (EMR/Hadoop, Spark, Hive, Parquet, etc.)
Solid communications skills and a team player
Passion for technology
Solid AWS Redshift skills
Experience implementing and working with Tableau for reporting and exploratory analytics
Experience with scripting languages (Python, Perl, Unix shell, etc.)

204

Data Engineer Resume Examples & Samples

Builds scalable and reliable ETL systems to pull large and complex data together from different systems efficiently
Works with Solution Architects to develop ETL/Data Integration/Data Processing Flows
Collaborates with other Data Engineers and Data Architects to build efficient ETL and Database code
Responsible periodically for on call support of Data Integration Batch processes
Produces dynamic, data driven solutions to support the strategic business goals of the company
Will be responsible for after-hours on-call support on a rotating basis
B.S. in Computer Science, MIS or related degree and a minimum of five (5) years of relevant experience or combination of education, training and experience
Expert Level working knowledge of ETL concepts and building ETL solutions
ETL Tools such as ODI, Informatica, SSIS
Data warehousing concepts and current Data Integration patterns/technologies
Prototyping and automating Data Integration Processes
Deep experience with Oracle as a Database Platform
Physical Performance Optimization of Oracle Databases

205

Data Engineer Resume Examples & Samples

Design and build our Big Data pipeline that can transfer and process several terabytes of data using Apache Spark, Python, Apache Kafka, Hive and Impala
Design and build data applications that will drives or enhances our products and customer experience
Self starter and a team player. Highly motivated to add value to the team and platform using innovations around data and data applications
Excellent Programming skills using Python or Scala
Experience with Apache Spark

206

Data Engineer Resume Examples & Samples

Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline
Experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets
Master’s Degree in Computer Science, Engineering, Math, Physics, Statistics or related discipline
1+ years’ experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets

207

Data Engineer Resume Examples & Samples

Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity
Provide subject matter expertise in the analysis and preparation of specifications and plans for development/modification of the processes
Create data warehouse design and definition to support business operations and analytics using the Teradata database and/or Hadoop
Understand and follow the PDP process to develop, deploy and deliver the solutions
Be pro-active and diligent in identifying and communicating scope, design, development issues and recommending potential solutions
Work independently using good judgment and decision making skills obtained through experience in business technology
Responsible for collaborating with the offshore coordinator, business analyst and data analyst to resolve gaps in design specifications

208

Data Engineer Resume Examples & Samples

Collaborating with the Information Management team to design, build and implement new complex data layers
Solving real challenges around creating systems that import, cleanse, structure, and display huge volumes of data
Creating data systems that ensure quality and consistency on our data platform
Writing high quality code, participating actively in code reviews, and consistently helping to improve our processes
Coordinating with software team to integrate into the full development stack
5 years’ experience working in data systems as well as producing quality code relating to the organization of data within these systems
Advanced / expert knowledge in SQL Server
Expertise in building and scaling ETL / Event processing systems that organize data and manage complex rule sets in batch and real-time
Experience with in the following areas
Experience with Big Data tools such as Hadoop, Cassandra, Hive, Pig, Spark, etc
Experience with PowerShell
Experience working in an Agile development environment

209

Data Engineer Resume Examples & Samples

Partner with business sponsors, software architects, engineers, analysts and IT management to lead design activities for new or enhanced IT solutions
Conduct design reviews with business stakeholders and other IT disciplines
Serve as the senior engineer for a team of developers and analysts, including offshore resources, to ensure development adheres to designs, development standards and best practices. Conduct code reviews
Collaborate with other IT disciplines, including Requirements Engineering, Data Analysis, Quality Assurance, and Project Management to review project plans, requirements documentation and test plans
Be the focal point person leading the effort for troubleshooting software engineering related issues in solutions
Proactively identify and communicate risks and issues to management and create action plans to mitigate risks
Work on strategic initiatives on technology selection, research and development and process improvement
Create and maintain logical and physical data models for Retirement Planning in support of application development
Serve as the primary application DBA to establish reference data models, processes, and data mappings, transformational rules to support real time and batch data integration
Provide technical guidance to the application developers and DBAs to diagnose and optimize query performance
6+ Years demonstrated experience designing software solutions using varied design and/or modeling techniques such as object models, class diagrams, component diagrams, sequence diagrams and tools such as UML, Visual Paradigm
4+ Years developing with core Java technologies OR C# .NET, C++
4+ Years experience with HTML, XML, SQL, PL/SQL and REST/SOAP-based web services
4+ Years experience developing to database designs and standards, including Oracle, SQL Server, MySQL
4+ Years of experience in developing SQL, DDL, DML and vendor specific data programming language such as PL/SQL or Transact SQL
4+ years of experience applying data modeling techniques and tools such as ERWIN and/or other modeling tools
4+ years of experience in data analysis, including developing relational and multi-dimensional database and cubes
Strong experience with the Oracle DBMS environment
3+ Years in a variety of software methodologies agile, scrum, waterfall, RUP
An analytical and collaborative mindset that allows you to delve into technical issues both as an individual contributor and as part of a team to understand not only how something works, but why it works, and how it can be improved
A demonstrable understanding of common security threats and mitigation strategies
A bachelor’s degree in Computer Science or related field and 5 years of experience as Software Engineer, or the equivalent combination of education and/or experience
Experience with mainframe technology including JCL, VSAM, Cobol
Experience with Microsoft SSIS, SSAS, SSRS
Experience with MS SQL server, DB2, XML/XSD and TOAD
Experience with FIS/Sungard Omni Suite of products
Experience with technology roadmap development and project management principle/concept
Understanding of the financial services industry, specifically retirement planning and/or individual annuity

210

Data Engineer Resume Examples & Samples

Some experience working with financial data
Excellent analytical, mathematical and problem solving skills
Strong initiative and a thirst for knowledge in finance, business or accounting are required
Excellent interpersonal and communication skills with the ability to work efficiently in a fast-paced environment on multiple concurrent projects
Some database experience (SQL, DDL/DML, performance tuning, data modeling)
Exposure to one or more scripting languages - Perl / Python / JavaScript
NoSQL / Distributed data store technologies like HDFS, Apache Cassandra
Working with structured/un-structured data, file parsing, web scraping
Hands-on experience with full SDLC
Good understanding of UNIX/LINUX environments

211

Data Engineer Resume Examples & Samples

Design and build high-scale, batch and real-time data processing pipelines using Big Data technologies including Hadoop, Spark, Kafka and relevant platforms
Build, verify and deploy machine learning models
Continuously improve productivity and sustainability with great coding, QA and release practices, coaching less-experienced team members

212

Data Engineer Resume Examples & Samples

Five (5) years’ experience in design and development of clear, standard and performant SQL code on Oracle 11g, Teradata 14.10, and SQL Server 2012 database platforms by joining tables, filtering rows, transforming columns, grouping, ordering and sorting data, utilizing analytic functions, pivoting and unpivoting data
Five (5) years strong experience in creating database objects, schemas, tables, views, stored procedures, indexes, synonyms, and materialized views in Oracle 11g, Teradata 14.10, and SQL Server 2012
Five (5) years’ experience in design and development of complex KSH shell scripts on UNIX, Linux, and Windows server environments in order to modify, copy, rename, move, schedule, and process flat, complex flat, XML, csv, and delimited files
Five (5) years’ experience using Data Stage 8.7 to design and develop efficient, effective, and complex EDW data integration mappings using the following stages: sequential file, data set, file set, complex flat file, oracle enterprise, ODBC Enterprise, DB2/UDS Enterprise, Teradata, SQL Server Enterprise, Aggregator, FTP, Filter, Funnel, Join, Lookup, Merge, Modify, Remove Duplicates, Slowly Changing Dimension, Sort, Transformer, Surrogate Key Generator, Sequencer, Job Activity, Notification and Exception Handler
Three (3) years’ experience in dimensional modeling and entity relationship modeling at conceptual, logical and physical levels. Basic experience in modeling dimension tables with SCD1 and SCD2 attributes, snowflake dimensions, junk and degenerate dimensions; bridge tables; transaction facts, accumulating and periodic snapshot facts; reference and master tables; transaction tables; staging and lookup tables in an EDW environment
Three (3) years’ experience in performing data profiling and data analysis on source system data to determine the actual content, structure and quality of data

213

Data Engineer Resume Examples & Samples

5+ years of related work experience in Data Engineering or Data Warehousing
Proficient in building and maintaining robust ETL jobs (Talend, Pentaho, SSIS, Alteryx, Informatica, etc.)
Proficient in SQL, NoSQL
Proven experience with data warehousing and data modeling, specifically building/understanding star schema–based data marts
Understanding of AGILE project approaches and methodologies
Experience in one or more Hadoop distributions (Cloudera, Hortonworks, MapR, HDInsight, EMR)
Designing data warehouse/ETL & ELT/ Data Load architectures within the Hadoop Ecosystem
Experience with designing, implementing, or operating IT systems on leading commercial Cloud platforms, including AWS, Azure, and Google
Strong aptitude for learning new technologies and analytics techniques

214

Data Engineer Resume Examples & Samples

Master’s degree in Computer Science, Statistics, Math, Engineering, Economics or business-related discipline
Hadoop experience in Big Data analysis using Hadoop Framework HDFS, and Hive
Spark and H2O programming

215

Data Engineer Resume Examples & Samples

Design and develop ELT/ETL Strategy, Logic, Job Chain Design and scheduling
Hands-on experience with SQL creating functions, stored procedures etc. in a Financial environment
Performs impact analysis against metadata manager directories, creates and maintains data lineage for Data Governance
Good team player, with ability to professionally interact with a diverse blend of architects and developers to reach optimal resolution and maintain strong relationships
Minimum 4 years of work experience in ETL, data modeling and data warehousing
Strong experience in ETL and Big Data Technologies like Talend, Hadoop, Greenplum, HVR, HIVE etc
Strong programming experience in SQL, writing stored procedures, functions etc
Work effectively with project managers to understand and deliver on project requirements and deadlines

216

Data Engineer Resume Examples & Samples

Work closely with the BI and ERP project leaders, global and local IT and functional teams to deliver projects on-time, budget and quality
Drive solution identification, feasibility analysis and implementation for approved BI projects
Support the preparation of long term BI plans and Datawarehouse concepts and assure that they are in line with business objectives
Monitor vendor team performance and ensure continuous improvement
Work on local and global business synergies, best practice sharing and process simplification improving the existing BI solutions
Ensure necessary services and infrastructures are available and run in line with required service levels
Periodically review, benchmark, communicate and enhance service levels with other sites, GE Businesses
Work as a business partner with IT and functional teams, help to evaluate and improve business processes and arrive at mutual, cost effective solutions
Maintain current knowledge of information technologies that are applicable to business objectives
Organize regular end user involvement and trainings to be expert in BI solutions
Play a key role as an IT champion on EHS field and influence others to strictly follow and proactively play by the EHS rules
Immediately report the incidents and near misses to the direct reports and EHS department
Immediately shut down the operation when realized life or serious injury risk present
BS or BA degree in Computer Science, MIS, Business or related field or relevant experience
Strong experience in BI / DWH area, deep understanding of ERP systems (preferably Oracle)
Experience with reporting and analysis tools (Business Objects, Tableau, Cognos)
Strong SQL and analytical skills
Experience of major databases (Oracle, MS SQL Server and/or MySQL)
Excellent communication skills, fluent English, Hungarian is must
Ability to work with remote and 3rd party teams to drive rollouts
Advanced level of computer technology (Servers, Database, Virtualization, Application development, etc.)
Change Management methodologies and ITIL experience
Passion for learning new technologies and eagerness to collaborate across teams to drive best solutions
Ability to hit tight deadlines and work under pressure
Experience with working in diverse, matrix, and remote teams
Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources
Change oriented – actively generates process improvements; supports and drives change, and confronts difficult circumstances in creative ways

217

Data Engineer Resume Examples & Samples

Own application data structure, storage, integration, deployment and support
Provide technology guidance, evaluate tools, perform POC’s, and propose solutions
Design and document conceptual and logical models
Minimum 3 years of experience as data engineer in designing and developing database and ETL solutions or Master’s Degree with 2 years of experience
Minimum of 2 years of BI technology experience

218

Data Engineer Resume Examples & Samples

Performs a variety of data loads & data transformations
Demonstrates proficiency in implementation of logical/physical data models that support MDM best practices
Performs integration of multiple data source-formats into master data load
Proficient in the use of at least one ETL tool
Must have good communication skills - both oral and written
A minimum of 3 years of Database/Data Warehouse, SQL (Oracle, Terradata, Greenplum, Hive etc) experience is required
A minimum of 1 year of experience using Hadoop ecosystem

219

Data Engineer Resume Examples & Samples

Finds and interprets data sources, manages large amounts of data, merges data sources together and ensures consistency of data-sets
Presents to leaders (EB, SPB) and to cross-functional teams on how technology solutions benefit the business
Tools utilized will include, but are not limited to, TM1, Spotfire, WAVE, Boomi , Informatica and Rally
1 year of experience with IBM TM1 development
1 years of experience in data transformation including (but not limited to) such tools as Informatica, Talend, Boomi

220

Data Engineer Resume Examples & Samples

Design scalable architectures for real time and batch data processing
Successfully partner with data scientists to support building advanced data products based on Big Data technology and implement their models
Successfully partner with system operators to design data generation and provisioning architectures
Be responsible for Data Management / Engineering on our Hadoop-based data platform working in the fields: data ingestion management, data architecture and data modeling, data quality and data accessibility as well as data governance

221

Data Engineer Resume Examples & Samples

1 years of experience using Scripting (Python, Perl, Shell, etc) is required
2 years of experience working on Database(s) like PostgreSQL, Oracle, SQL Server. SQL is required
2 years of experience designing data model solutions for various OLTP and OLAP databases

222

Data Engineer Resume Examples & Samples

Bachelor's degree in Mechanical or Electrical Engineer required
Min 3 years of experience in engineering, IT, or operations
Min 3 years of experience in budget/finance
Min 3 years of experience in project management
Proficient in MS Office Programs
Ability to read and interpret electrical/mechanical blueprints

223

Data Engineer Resume Examples & Samples

Build solutions that reach millions of new customers all over the world, providing them with a world class shopping experience in their local language, payments, and currencies
Work across all tiers leveraging Service-Oriented Architecture, mobile platforms, user experience, analytics and data mining
Drive customer experience technology for supporting customers all over the world
Work closely with the business to define the expansion strategy and figure out innovative solutions to help this thriving business continue to its exponential growth
You have an understanding and empathy for Amazon’s Exports and Expansion customers and business objectives
You will identify and build the customer experience metrics to measure the success of targeting cross-broader and international shoppers
You recognize and adopt best practices in data warehousing and business intelligence: design, testing, documentation, build, deployment, and operations
You write high quality, maintainable, and robust code, often in SQL, PL/SQL, or MDX
You solve problems at their root, stepping back to understand the broader context
You develop pragmatic solutions. You build flexible systems without over-engineering and choose simple, straightforward solutions over more complex ones
You understand a broad range of data models and know how, when and when not to use them
You recognize and use design patterns to solve business problems
You understand how Data Warehousing and Business Intelligence applications work, perform, and scale
4+ years work experience in writing high quality, maintainable, and robust code, often in SQL, PL/SQL, or MDX
Prior experience in design and execution of analytical projects, specifically with large data sets
Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases. Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior
Strong knowledge of quantitative analytics and advanced analytical tools. Advanced skill is required
OBIEE certified OR at least 1 year of OBIEE experience
Deep experience with data mining, data analytic, predictive modeling, and advanced modeling techniques
Understand how Data Warehousing and Business Intelligence applications work, perform, and scale

224

Data Engineer Resume Examples & Samples

Work closely with data scientists and analysts to design and maintain scalable data models and pipelines
Collect, store, process, and analyze huge sets of data in Hadoop
Maintain, implement and monitor the data (both structured and unstructured)
Integrate data from multiple data sources as per defined architecture practices
Automate data transformation and data quality reports
Select and integrate Big Data tools and frameworks required to provide requested capabilities
Implement ETL processes
Build prototype and proof of concepts for selected solutions
Help data scientists optimize Hive and Spark queries
Perform impact assessment and deep dive analysis in collaboration with stakeholders to ensure data integrity, consistency, usability and completeness
Data cleanup and transformation to support the business process as required
Guide development teams with expertise in latest technology trends
Bachelor’s degree or equivalent, plus 4+ years of data design and development experience with large scale distributed systems (Big Data)
Strong data analysis skills - ability to identify and analyze complex patterns, perform data integration and identify data quality issues
Ability to communicate data requirements clearly to broad audiences
Team player with a positive can-do attitude; energetic and proactive
Deep Experience with Mapreduce/Hadoop/Oracle/Teradata
Experience with NoSQL (SAP Hana, Hbase, HDFS, Cassandra or MongoDB)
Good exposure and understanding of Apache Spark
SQL and Data modeling experience
Deep understanding of Query optimization on Hadoop
Programming experience in Python, Java, Scala
Experience in data visualization using graphs, charts, dashboards
Critical thinking and ability to drive conclusions based on data findings
Strong written and verbal communication, including technical writing skills

225

Data Engineer Resume Examples & Samples

Bachelor’s degree or equivalent, plus 8+ years of data design and development experience with large scale distributed systems
10+ total years of experience in BI, data management and software development
Deep understanding of database design concepts
Hands-on experience with data governance tools like Collibra
Experience with ETL tools like Informatica, Datastage or Oracle Goldengate
SQL and Data modeling expertise
Deep understanding of PL/SQL optimization
Proficient in SQL, OLAP, MQE, Data Reports, Semantic and text analytics
Awareness of basic data modeling concepts

226

Data Engineer Resume Examples & Samples

3+ years strong C#/C++ coding skills ? SQL and/or data warehousing skills
3+ years experience with COSMOS
BS and/or MS in an area such as computer science, computer engineering, machine learning, or similar engineering field
Experience with Azure (SQL Azure/ADF/AML/Cloud services)
Strong problem solving and algorithmic thinking capability
Ability to communicate and collaborate with people representing diverse point of view

227

Data Engineer Resume Examples & Samples

3+ years of relevant experience as a Data Engineer, Business Analyst, Data Analyst, or another related occupation
Degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, Economics
Strong SQL skills and experience in handling large data sets
Experience in data mining (SQL, ETL, data warehouse etc)
Experience in building automation for reporting
Ability to influence teams of business managers, research scientists, software developers, and product managers to innovate and to deliver against aggressive targets
Experience or good knowledge/understanding of system and software engineering processes
Experience working with AWS stack (Redshift, S3, EMR, etc)
Experienced working in a fast-paced, high-tech environment (preferably software development) and comfortable navigating conflicting priorities and ambiguous problems

228

Data Engineer Resume Examples & Samples

Work with other members of the Data Services team to build and support real-time, high availability ETL processes
Design and build data integration processes between Nordstrom and NR|HL systems
Provide occasional on-call production support of ETL processes after hours
Document data findings, methodologies, runbooks and resolution efforts in ticketing systems and internal wikis
Clear and effective communication and interpersonal skills
Strong skills in Python, Java, and/or Scala
Hadoop, MapReduce, Pig, Hive, or Spark
Statistical programming (e.g. R, SAS)
Shell scripting
Monitoring tools such as Nagios

229

Data Engineer Resume Examples & Samples

Perform routine and ad hoc data maintenance
Using SQL Server Integration Services, SQL scripting, and other tools, ensure timely and accurate processing of regularly scheduled data imports
Update existing stored procedures, SSIS packages, etc. related to application feature updates
Perform "in the weeds" data scrubbing using Excel, text editors, etc
Troubleshoot data issues, validate result sets, and recommend and implement process improvements
Perform complex data analysis, primarily through use of SQL back-end tools
Develop requirements, tools and/or processes to eliminate or enhance manual processing of client data
Design, develop, and maintain ETL data integration processes

230

Data Engineer Resume Examples & Samples

Proficiency with databases and SQL is required
Proficiency in Spark/MapReduce development and expertise with data processing (ETL) technologies is required
Knowledge of Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
Ability to work with analysts to gather requirements and translate them into data engineering tasks

231

Data Engineer Resume Examples & Samples

Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view,
Analyze data and trends to identify and act to mitigate potential operational and strategic risks – process, information security, regulatory, commercial, and financial risks,
Work with the global Compliance Technology organization to create state of the art transactional and operational risk monitoring platform,
Develop a comprehensive, secure self-service reporting solution for compliance analysis and monitoring in concert with BI team,
Work with stakeholders to analyze requirements, design solutions and use available data to generate reports and metrics to measure success against established goals,
Retrieve and analyze data using SQL, Excel, and other data management systems,
Develop queries for ad hoc requests and projects, as well as ongoing reporting, and
Partner with customers to answer key business questions
Experience with developing advanced data visualization dashboards using tools such as Tableau
3+ years of developing end-to-end Business Intelligence solutions: data modeling, ETL and reporting
Ph.D. degree in computer science, statistics, neuroscience, engineering, mathematics, or physics
Experience with advanced ML models and concepts: HMMs, CRFs, MRFs, deep learning, regularization, etc
2+ years of industry experience in data science or related areas
Experience in fraud detection or related field
Experience with working on large data sets, especially with Hadoop and Spark
Experience with distributed databases such as MongoDB, HBase, Cassandra etc
Experience with cloud computing platforms such as AWS
Experience with data visualization tools such as Tableau, PowerBI, etc

232

Data Engineer Resume Examples & Samples

Design and implement metrics and reporting frameworks to describe customer behavior
Model and forecast business metrics in support of business decisions
Design and implement key metrics and performance indicators to evaluate product performance
Analyze performance of customer use of product to understand utilization and areas of optimization
Identify opportunities to add data driven intelligence to decision-making of engineering features
Research machine learning algorithms and data exploration techniques for use with massive data sets to advance business and engineering understanding
Work with the Product Management and Software teams to develop the features for the growing Amazon business
Degree in Computer Science, Statistics, Engineering, Math, Finance, or other technical field
6+ years of business analysis, data analysis experiences
Ability to access, manage, transfer, integrate and analyze complex data sets, especially using SQL
Very strong analytical and problem-solving skills
Experience designing and operating very large Data Warehouses
Demonstrated strong data modelling skills in areas such as data mining and machine learning
Proficient in Linux and a programming languages such as R, Python, Ruby or Java
Experience in ETL design and implementation
Solid experience in at least one business intelligence reporting tool, e.g. Tableau
Master or PhD in Computer Science, Statistics, Engineering, Math, Finance, or other technical field
Strong track record in converting data analysis into tangible and significant real-world changes
Proven written and verbal communication skills to convey complicated processes and systems to business partner

233

Data Engineer Resume Examples & Samples

Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets
Solid project management skills
Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications for implementation

234

Data Engineer Resume Examples & Samples

Designing distributed computing systems to support data science initiatives including descriptive, predictive, and prescriptive analytics
Assess, document, and translate goals and problem statements into use cases for engineering development and implementation
Monitoring and optimizing performance
BS or higher in Computer Science / Software Engineering
6+ years software development experience, preferable in data analytics/science space
Good knowledge of Big Data frameworks, concepts, and tools such as Hadoop, HDFS, Hive
Language / Tools / API Experience: Java/J2EE, JS, JQuery, JSON, Bash, Python, Git, Linux/Unix
Experience in designing and querying SQL & NoSQL databases such as PostgreSQL, MySQL, Oracle, Couchbase
Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming
Great written / oral communication
Knowledge and experience in: Big Data ML toolkits, such as Mahout, SparkML, or H2O Cloud computing ecosystems including Amazon Web Services, BigQuery, Azure, etc, Messaging systems, such as Kafka or RabbitMQ
Teamworking
Take direction but also work autonomously
Multitasking
Meticulous attention to detail
Work to hard deadlines
Ability to work effectively on fast-paced, short-deadline projects
Great balance between offering quick solutions and writing maintainable code
Personal Integrity and Accountability

235

Data Engineer Resume Examples & Samples

In this role, you will have the opportunity to display your skills in the following areas
Design, implement, and support a analytical platform providing ad hoc access to large datasets and computing power
Managing AWS resources including EC2, RDS, Redshift and etc
Explore and learn latest technologies to provide
At least 3 years of relevant work experience in analytics, data engineering, business intelligence or related field
Demonstrable ability in data modeling, ETL development, and Data warehousing, or similar skills
Demonstrable skills and experience using SQL with large data sets (e.g. Oracle, SQL Server, Redshift)
Experience with AWS technologies including Redshift, RDS, S3
Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, finance, and operations
Experience with AWS technologies including EMR, Kinesis
Experience with reporting tools like Tableau, Excel or other BI packages
Familiarity with statistical models and data mining algorithms
Familiarity with Linux

236

Data Engineer Resume Examples & Samples

Creates sophisticated data solutions to business problems
Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports using team procedures and tool selection guidelines. Ensures that all code is developed in a well structured manner - includes sufficient documentation - and is easy to maintain and reuse
Continues to discover and implement new data sources and data integration techniques that are beneficial to clients who self-provision data
Leads all phases of development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members. Tests code thoroughly for accuracy of intended purpose
Understands and enforces team development guidelines. Mentors staff with less experience. Resolves issues elevated from staff with less experience
Partners with internal clients to enhance understanding of business functions and informational needs. Maintains a broad understanding of Vanguard’s technologies, tools, and applications, including those that interface with business area and systems
Designs and conducts training sessions on tools and data sources used by the team and self provisioners. Provides supporting documentation to team members and business partners as needed
Understands, complies with and enforces team policies and procedures, especially those for quality and productivity standards that enable the team to meet established milestones. Understands, complies with and enforces all Information Security policies and procedures, and verifies deliverables meet Information Security requirements. Abides by Risk Controls as defined in the team CAF Documentation
Manages and/or participates in special projects and performs other duties as assigned
Minimum of five years analyst, developer, or DBA experience
Strong SQL and query performance tuning skills
Knowledge of Vanguard digital properties
Expert-level knowledge of Vanguard UI development tools and processes and of the following technologies – Java, JavaScript, JSON, Angular JS, JSF, CSS, HTML and AJAX
Extensive experience using one or more of the following data sources: Enterprise, Data Warehouse, VAST, VISTA, Adobe or Tea Leaf
Advanced knowledge of one or more of the following: COGNOS Report Studio, Analysis Studio, Framework Manager and Transformer, SAS, FOCUS, SQL, EasyTrieve, Hadoop, Python, UNIX, CIS, IDAA, and Exadata, Java, Tag management Systems, Adobe and Tea Leaf
Strong problem solving, planning, and communication skills
Knowledge of Iport and Institutional data stores preferred
Knowledge of the Retail and Institutional WEB Site preferred

237

Data Engineer Resume Examples & Samples

Experience in relational databases and noSQL databases
Excellent knowledge of modern data storage technology
Experience in data organization and security
Microsoft Excel experience
Masters degree in Computer Science or equivalent
Experience with high throughput, 24x7 systems
Innovation and initiative to improve coding standards, test coverage, quality and automation
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

238

Data Engineer Resume Examples & Samples

Define requirements for reporting sales data, customer behavior, and technical performance metrics, and work with technical teams and product managers to integrate into our development schedules
Develop, implement, and automate processes to collect and manage usage data from multiple sources
Partner with internal and external market research teams to analyze our customers and the competitive environment
Derive insights from customer feedback and usage data and provide input into new product development
5+ years of years of relevant work experience in analytics, data engineering, business intelligence or related field, and 5-7 years professional experience (experience in consumer-facing industry preferred)
Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
Graduate degree in business, mathematics, statistics, economics, or other quantitative field
Strong ability to interact, communicate, present and influence within multiple levels of the organization, including an ability to effectively communicate with both business and technical teams
Demonstrated experience delivering actionable insights for a consumer business
Experience with statistical modeling and analyzing large data sets

239

Data Engineer Resume Examples & Samples

Develop and Maintain cross platform ETL processes
Audit data loading process and monitor data anomalies
Develop and maintain third party API processes
Work with marketing team to QA all the partner's incoming data
Maintain and develop web based visualization tools for operation and executive teams
Interact and understand reporting requirements of game teams and senior management staff
Maintain and enhance Tableau and custom data visualization tools.Work with data scientists to develop a scalable data visualization platform
Optimize table schema based on usage patterns. Grow and develop team of data engineers
Startup and mobile gaming experience a plus
Prior Tableau or Vertica experience a plus
Experience with CI systems (airflow, jenkins)
Cloud based development a plus
Mobile Data Collections
Expertise building and maintaining reliable ETL jobs
Love for open source solutions

240

Data Engineer Resume Examples & Samples

10+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
Experience in non-relational and unstructured data such as NoSQL, Big Data, Hadoop etc
Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is highly desired
Experience in one of the modern reporting tools such as Tableau, OBIEE, etc
Experience performing capacity planning at both table level as well as database and file storage level to ensure smooth data growth
Experience performing various performance tuning activities at the both database level as well as ETL
Experience managing and growing highly performing engineering teams

241

Data Engineer Resume Examples & Samples

Ensure systems meet business requirements and industry practices
Develop data set processes for data modeling, mining and production
Create custom software components (e.g. specialized UDFs) and analytics applications
Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
Collaborate with data architects, modelers and IT team members on project goals
Bachelor degree in areas of Science, Technology, Engineering, or Mathematics (STEM)
10 years of work related experience
Basic understanding of front-end technologies such as JavaScript, HTML, and CSS3
Experience with querying, analyzing, and visualizing large data sets
Possess strong unit test and debugging skills
Must possess strong troubleshooting and problem solving skills
Must demonstrate strong client relations skills
Proven track record for working successfully in a team oriented environment with frequent customer interaction
Must be able to operate independently
Must possess an active TSSCI clearance
Familiar with Python, JAVA, Pig
Familiar with various operating systems including Window, Linux, Unix
Familiar with working with applications in a cloud-based environment
Familiar with Mathematica, REST APIs
Knowledge of user authentication and authorization between multiple systems, servers, and environments
Have domain knowledge of the Defense Intelligence Agency (DIA)
Experience in System Administration and Database administration (a plus)
Preferred candidate traits include: focused self-starter; excellent time management, team building skills; excellent verbal and written communication skills and a reputation for establishing good customer relationships

242

Data Engineer Resume Examples & Samples

Deliver hundreds of million of rows of analytics to end users daily
Take advantage of our continuous integration and deployment
Participate in technical design and peer review for new projects
Experience with AWS ecosystem. Some preferred services are Redshift, RDS, S3, SWF
Proven experience with ETL frameworks (Airflow, Luigi, or our own open sourced garcon)
Expertise with at least one distributed data stores (Redshift, Cassandra, Snowflake)
Proficient in scripting language of choice. Python is strongly preferred, PHP a plus
Highly proficient in writing SQL for a relational datastore (MySQL, PostgreSQL)
Knowledge of technologies that can deal with Big Data is a Big Plus (Kafka, Spark, Hive, Hadoop/MapReduce)
Ability to write automated tests (unit, functional, and integration) to ensure code works as expected
Desire to collaborate with other engineers through peer code reviews

243

Data Engineer Resume Examples & Samples

Responsible for defining, obtaining and preparing data elements that can be used to define, analyze and improve performance
Pulling identified data from Databases
Data cleansing / preparation
Communicating actionable insight from analysis
Piloting/ deploying product and service process improvements on a global scale
Active participation in project and departmental decisions
Define data element requirements to enable step-function improvements for new product and service offerings
Seeks opportunities to apply new technologies and tools to develop personal and departmental capabilities
Seeks to develop related intellectual property that can be leveraged by NCR services and products
Operates effectively with service organization and customer technical resources
Bachelor’s degree in Mathematics, Statistics or Computer and Information Science
Experience in the application of statistical analysis and machine learning methods to large scale data sets. (SQL, R, Python)
Teamwork Initiative, team work and innovativeness

244

Data Engineer Resume Examples & Samples

Design, implement and support a system that can provide ad-hoc access to large datasets
Interface with business customers, gathering requirements and delivering complete insightful solutions
Partner/Collaborate across teams/roles to deliver results
Be responsible for overall reporting models, schedules, reliability, and performance
Mentor other engineers, define the technical culture, and help grow the team
Bachelor’s degree in Computer Science, or Engineering, or equivalent experience
Strong dimensional/ relational modeling skills
Experience in gathering requirements and formulating business metrics for reporting
Excellent knowledge of SQL and variations
Experience in ETL and databases in a business environment with large-scale, complex datasets
Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
Experience in Hadoop based ecosystem technologies
Ability to curate, combine and extract metrics across both relational, columnar and NoSQL data stores
Ability to work in a fast paced and agile development environment
Knowledge of BI tools is a plus
Query performance tuning and deep database tuning skills

245

Data Engineer Resume Examples & Samples

Develop complex big data ingestion jobs in Talend for relational, big data, streaming, IOT, flat file, JSON, API, and many other data sources
Operationalize and scale data science algorithms to extremely large datasets
Operate in Agile framework, creating user stories from and tasks from customer requirements to track project progress
Hands-on proficiency in two or more scripting languages (e.g., Java, Python, Scala, R, Shell scripting)
2+ years working with Talend Data Integration
2+ years working with Hadoop Big Data ecosystems and tools such as Hive, Spark, etc
Familiarity with Greenplum data modeling, or MPP-style data warehouse or PostgreSQL knowledge
Expertise with using the Linux command line
Self-driven to learn new technology and build technical skill sets
Experience with Agile project delivery frameworks
Experience with CDC-based enterprise data ingestion technologies
Hands-on experience with streaming data architecture (Spark Streaming, message queues, etc.)
Exposure to analytics packages in Python, R, Spark/MLlib
Experience with Hadoop SQL tools such as Zeppelin and Ambari
Experience with Haddop workflow tools such as Oozie

246

Data Engineer Resume Examples & Samples

Develop data products and collaborate with Data Scientist to find new insight in data
Work with business SME’s to source data needed for analytics
Prepare data for analytics
Help organizations deploy analytics into the daily life of their business
Be a key player in developing IoT, Data Platform and analytics solutions

247

Data Engineer Resume Examples & Samples

Design, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of stakeholders always in view
Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions
Partner with analysts, applied scientists, data engineers, business intelligence engineers, and software development engineers across Kindle and Amazon to produce complete data solutions
Investigate and implement new big data technologies to solve business problems where appropriate
Participate in developing technical strategy for turning data into actionable information for Kindle Reader
Develop complex queries for ad hoc requests and projects, as well as ongoing reporting
Bachelor’s degree in computer science, mathematics, or a related technical field
3+ years of relevant employment experience in data engineering, business intelligence, market research or related field
Mastery of relevant technical skills, including SQL, data modeling, schema design, data warehouse administration, BI reporting tools (e.g. Tableau), scripting for automation
Exposure to big data technologies (e.g. Hadoop, Hive, Spark, EMR)
Excellence in technical communication and experience working directly with stakeholders
Experience gathering insights or maintaining infrastructure using big data technologies (e.g. Hadoop, Hive, Spark, EMR)
Demonstrated ability to coordinate projects across functional teams, including engineering, product management, and marketing

248

Data Engineer Resume Examples & Samples

Act as a product owner: leading customer utilization research projects to better understand how your customers are using your product
Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
Strong active listener with solid written and verbal communication skills
Knowledge and direct experience using business intelligence reporting/visualization tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
Demonstrated development and application of predictive statistical procedures in languages such as R, SAS, SPS

249

Data Engineer Resume Examples & Samples

Analyze/create requirements for incorporation into data models
Design and develop conceptual, logical and physical data models for moving current IT workloads in AWS public cloud
Implement and administer data modeling tool in collaboration with other data modelers leveraging and incorporating AWS services where possible
Establish a Master data model for continuous cost optimization in AWS
Set up a continuous process for optimization by establishing data modeling best practices
A B.S. or M.S In Computer Science or Information Systems or equivalent experience
Three or more years of experience in a related discipline
Solid data structures & algorithms background
Expertise of one of Python, Java, C++, Scala or equivalent language
Experience with cleaning, aggregating, and pre-processing data from varied sources
Experience creating complex SQL queries for standard as well as ad hoc data mining purposes
Demonstrated experience operating in a Unix/Linux environment
Excellent problem solving, critical thinking, and communication skills
Strong demonstrated ability to evaluate and adopt new technologies in a short time
Coursework or practical experience with machine learning, data mining, and constructing analytical models and algorithms
Demonstrated ability to work with minimal direction, with the proven ability to coordinate complex activities
Demonstrated experience with providing advanced data insights in an e-commerce, finance or related field
Solid experience in full software development lifecycle
Strong competencies in platform/backend service technologies, data structures, software design, and profiling
Strong proficiency writing production-quality code, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
Demonstrated proficiency in Relational databases and NoSQL databases
Demonstrated proficiency in Hadoop, Spark, Storm or related paradigms and associated languages such as Pig, Hive, Mahout
Experience in AWS, Azure, Google Cloud or other cloud ecosystems
Experience in Information Retrieval technologies: Elasticsearch, Solr, or Lucene

250

Data Engineer Resume Examples & Samples

Design and implement large scale distributed solutions in AWS and GCP clouds
Implement solutions which utilize Big Data cloud tools like Google Dataproc, Dataflow, and BigQuery
Create APIs which expose collected and analyzed data to partners using NodeJS and Python
Design, build, and debug Python based pipelines using the Luigi framework
Process real-time streaming data using the ELK stack, Apache Storm, and Spark Streaming
Create new web visualizations using common open-source libraries like D3
BS degree in Computer Science or equivalent work experience
Experience with Java, Python, or Scala and a willingness to learn the others
Experience with SQL languages
Experience with distributed version control like Git or Mecurial
Experience with Kafka, Amazon Kinesis, or Google Pub/sub
Experience building applications at scale using distributed databases, NoSQL, and MapReduce tools
Experience creating and consuming APIs for integration with external customers
Familiarity with Amazon Web Services or Google Cloud Platform
Familiarity with natural language processing and data modeling

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Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

Data Engineer Resume Examples & Samples

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