Job Description

Report to : Senior Data Engineer We Are EA Electronic Arts is a global leader in digital interactive entertainment. Our game franchises are offered as both packaged goods products and online services delivered through Internet-connected consoles, personal computers, mobile phones, and tablets. EA has more than 275 million registered players and operates in 75 countries. 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 engineer responsible for Extract Transform Load (ETL) logic validation through the use of test automation and database testing. 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 Hyderabad is looking for 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 use modern tools 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. 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 requirements Perform root cause analysis on failed test cases and communicate those to partners 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 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 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 Must Have Skills Bachelors degree with 4+ years of experience. Excellent command over querying and analysing data using various 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 with tuning databases and queries for optimal performance Experience in programming languages used in data systems - Python or R or Java Experience ingesting data from different sources in formats such as JSON, XML, CSV. Experience in data visualisation tools such as Tableau, Power BI, etc. Experience working using agile methodologies. Prior experience in 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 and practices 3+ years relevant industry experience in data engineering role who has Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

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