Job Description

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Data Developer- Specialized in Data Quality Validation

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.

Opportunity Ahead

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 developer responsible for Extract Transform Load (ETL) logic validation using 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 driving high quality in our data product portfolios.

EA Canada is looking for a Data Developer 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 use the latest tools to store, analyze petabytes of data and solve complex business problems. You will collaborate with product, business, and engineering teams to build & deliver the most optimal solution.

Responsibilities:

• Create 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 test strategy to validate end-to-end data quality based on data needs.
• Perform root cause analysis on failed test cases and communicate those with partners.
• Understand the design and architecture of data pipelines and come up with test solutions.
• Identify test coverage gaps on raw data to the team members.
• Define data quality KPIs to provide executive summary.
• Participate in scrum ceremonies (Sprint planning, daily stand up, review, retrospective)
• Coordinate test coverage based on feedback provided by downstream partners.
• Identify 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.
• Promote 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 analyzing data using multiple query languages native to the storage system (e.g., SQL CQL, MQL, Hive, etc.)
• Experience with SQL and NoSQL database concepts & applications, data modelling techniques (3NF, Dimensional)
• Experience tuning databases and queries for performance
• 3+ years of experience in programming languages used in data systems - Python or R or Java
• Experience ingesting data from multiple sources in formats such as JSON, XML, CSV, etc.
• 3+ years of experience in data visualization tools such as Tableau, Power BI, etc.
• Experience working using Agile methodologies. Prior experience using tools such as Gitlab, JIRA, Confluence, etc.
• Debug and test complex data pipelines.
• Experience identifying data quality rules and applying data validation techniques.
• Experience with data lifecycle & quality applications
• Experience with software quality assurance concepts, debugging processes

3+years relevant industry experience in data engineering role who has Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Electronic Arts