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General Information

Locations: Hyderabad, Telangana, India 
Role ID
208922
Worker Type
Regular Employee
Studio/Department
Commercial
Flexible Work Arrangement
On Site

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

As a Digital Merchandising Data Engineer, reporting to the Performance and Insights Senior Manager. Work type model is Hybrid. 


What You'll Do:

  • You'll develop ETL pipelines that integrate digital merchandising data from many sources

  • You'll improve data processes to handle large-scale structured and unstructured data using tools like Apache Airflow, AWS Glue, Azure Data Factory, or DBT.

  • You'll ensure data accuracy, consistency, and reliability across merchandising platforms.

  • You'll automate data ingestion and workflows, enhancing the team's analytics capabilities.

  • You'll collaborate with the Data Analyst, IT and Data Governance teams to maintain compliance and data quality standards.

  • You'll implement and refine data governance practices,

  • You'll apply best practices for data normalisation, indexing, and partitioning to boost system performance.

  • You'll scale workflows as our digital merchandising data volume grows.

  • You'll manage and enhance insightful dashboards in Looker (preferred), Power BI, or Tableau to Experience communicating updates and resolutions to customers and other partners digital merchandising Measurements.

  • You'll troubleshoot and improve dashboards for performance.


Experience And Qualifications You Bring:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related fields.

  • 3+ years of proven experience in ETL development, data transformation, and database management.

  • SQL skills (complex queries, indexing, and optimization).

  • Familiarity with Python or R for analytics and automation tasks.

  • Experience with ETL tools (Apache Airflow, DBT, AWS Glue, Fivetran, Informatica).

  • Experience with cloud environments (AWS, Azure, or Google Cloud) and data warehouses (Redshift, Snowflake).

  • Familiarity with visualisation tools such as Power BI, Tableau, or Looker.

  • Understand data governance principles, security, and compliance.

  • Experience working with large disparet datasets

  • Knowledge of APIs for digital merchandising and inventory management.



About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support a balanced life with paid time off and new parent leave, plus free games and so much more. We nurture environments where our teams can always bring their best to what they do.

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.
LinkedInID
1449