Electronic Arts

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You'll join our Product Engineering team within the Adrenaline division, where you'll implement data quality for our high-scale data products. Your expertise will directly help achieve our organisational goals. You will report to the Director of Data Architecture.

Main Responsibilities:

• You'll develop and automate end-to-end data quality, covering functional, technical and performance metrics.
• Configure and manage data quality tools across multiple platforms.
• Lead the assessment and resolution of data issues, optimising automation for maximum efficiency
• Lead both manual and automated testing plans for our data products.
• Ensure the quality rules execution in our data pipelines, ETL processes, and transformations
• Implement end-to-end testing across diverse systems and interfaces
• Maintain clear documentation for all testing activities
• Create comprehensive test plans that align with product goals and timelines
• Work with product, engineering, stewards, and data governance to implement our testing strategies.
• Partner with engineering teams to improve workflows and implement best practices
• Oversee bug tracking and coordinate with multiple teams to ensure data integrity
• Identify opportunities to enhance data accuracy and reliability
• Ensure data reliability and stability through monitoring and control of automated test suites
• Propose and implement solutions to persistent data quality challenges
• Conduct in-depth cause and effect analysis on complex data issues
• Contribute to the evolution of our data quality standards

Qualifications

• Bachelor's degree in Computer Engineering, Information Systems, or related field
• 5 years of experience in data quality, data management, or related role
• Proficiency in SQL and Python.
• Experience with data profiling, cleansing tools and data quality tools
• Experience with data modelling and database design principles
• Experience with automated testing frameworks and CI/CD pipelines
• Experience in Data Observability tools.