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Data Engineer
2 months ago
We are seeking an experienced Data Engineer to join our team at Electronic Arts Inc. as a Sr. Data Developer. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing scalable and efficient data pipelines to support our business needs.
Key Responsibilities:- Design and develop complex ETL pipelines to move and transform data from various sources.
- Collaborate with data analysts to implement data strategies and develop technical specifications for ETLs.
- Work with analysts to understand requirements and develop solutions to support reporting analytics and exploratory analysis.
- Implement efficient, scalable, and reliable data pipelines to move and transform data.
- Support production code to produce comprehensive and accurate datasets.
- Promote strategies to improve our data modeling, quality, and architecture.
- 4+ years of relevant industry experience in a data engineering role.
- Expertise in SQL Server/T-SQL and proficiency in writing performant SQL queries and scripts.
- Extensive knowledge of ETL/ELT processes, data modeling, and data warehousing.
- Experience developing Python and C#/.NET solutions and knowledge of SSIS and PowerShell.
- Experience working with cloud environments, databases, and workflows such as Azure, GCP, and AWS, as well as knowledge of cloud-based databases such as Snowflake.
- Experience in debugging, root cause analysis, monitoring, and data pipelines operations support.
- Familiarity with SQL engines and ability to conduct advanced performance tuning and query execution optimization.
- Familiarity with orchestration tools such as Airflow.
- Experience with engineering development ecosystem involving Git, CI/CD pipelines, unit testing, code release, and deployment.
- Comfortable working with a multi-functional team, both locally and remote, understanding the perspectives of each partner.
- Experience working in an Agile development environment and familiarity with process management tools such as JIRA, Target process, Trello, or similar.