We Are EA
We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, FIFA, Apex Legends, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.
Player Insight Network (PIN) is the central telemetry solution that helps EA to make great games across all platforms and titles. We, Player Insight Network Quality Verification Team, are looking for a data engineer responsible for Extract Transform Load (ETL) logic validation through the use of test automation and dbt. You will work with our partners to ensure quality data in player engagement and gameplay telemetry from source to dashboard reporting. Besides applying best software engineering practice in data engineering space, SQL and scripting language, you will work with an amazing team of data craft practitioners in continuously driving high quality in our data product portfolios.
EA Canada is seeking a Data Engineer with a love for data. You will be responsible for planning, building and deploying data quality solutions for EA. The Data Engineer will be a subject matter expert in building data quality solutions using modern ETL technologies. You will be leveraging cutting edge tools & technologies to store, analyse petabytes of data and solve complex business problems. You will collaborate with product, business and engineering teams to build & deliver the most optimal solution.
Creation of test plans by reviewing data pipeline feature design spec
Create test cases using DBT to validate ELT pipelines quality
Create test cases using SQL & python in internal test case automation framework to ensure data quality
Work with data analytics solution team to understand data requirements, Entity Relationship Diagram (ERD) and implementation of ETL logic
Design effective test strategy to validate end-to-end data quality based on data requirements and business needs
Perform root cause analysis on failed test cases and communicate those to stakeholders
Understand the design and architecture of data pipelines and come up with test solutions
Identify and communicate test coverage gaps on raw data to the stakeholders
Define data quality KPIs & metrics to provide executive summary
Participate in scrum ceremonies (Sprint planning, daily stand up, review, retrospective)
Analyze and improve test coverage based on feedback provided by downstream stakeholders
Identify new, creative methods to increase data pipelines testing efficiency
Enhance existing data pipelines quality processes
Work with the product, business and engineering teams to identify new opportunities for data acquisition
Build analytical tools and programs to empower the business teams make decisions based on data
Collaborate with data scientists and architects across teams serve their data needs
Evangelise and influence to make data a first class citizen with every person/team/group you get in touch with
Must Have Skills
Excellent command over querying and analysing data using various query languages native to the storage system (e.g., SQL CQL, MQL, Hive, etc.)
Good understanding of SQL and NoSQL database concepts & applications, data modelling techniques (3NF, Dimensional)
Proven experience in tuning databases and queries for optimal performance
Experience in programming languages used in data systems - Python or R or Java
Experience in ingesting data from various sources in formats such as JSON, XML, CSV, etc.
Experience in data visualisation tools such as Tableau, Power BI, etc.
Experience in working in a fast paced environment using agile methodologies. Prior experience in using tools such as Gitlab, JIRA, Confluence, etc.
Ability to debug and test complex data pipelines
Experience with identifying data quality rules and applying data validation techniques
Good understanding of data lifecycle & quality applications
Good understanding of software quality assurance concepts, debugging processes and practices
Ability to communicate ideas clearly and effectively and influence others
3+years relevant industry experience in data engineering role who has Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Building Statistical models and Machine Learning Algorithms
Real-time data acquisition & processing frameworks (e.g., Apache Storm, Apache NiFi, Apache Spark)
What’s in it for you? Glad you asked!
We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.
Don’t Just Play It – Create It!
About Electronic Arts
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.