Description

You own the QA strategy for the Data Ops platform.

Responsibilities

• Define and own the QA strategy across data ingestion, transformation, storage, analytics, and consumption layers.
• Establish test frameworks, standards, and governance aligned to enterprise SDLC and Data Ops best practices.
• Act as the single point of accountability for quality metrics, defect leakage, and release readiness.
• Design and execute data validation, reconciliation, and integrity testing across ingestion pipelines and ETL/ELT processes.
• Integrate QA into CI/CD pipelines to enforce continuous testing and quality gates.

Required Skills

• 5+ years of working experience.
• Bachelor's degree required.
• Experience defining and executing data validation and integrity testing for batch and streaming pipelines.
• Proficiency in validating AWS components including S3, Glue, Lambda, Redshift, Athena, EMR, and Step Functions.
• Familiarity with CI/CD practices and integrating automated testing into pipelines.
• Ability to translate business requirements into test scenarios and acceptance criteria.
• Experience collaborating with Product Owners, Data Architects, and Engineers.
• Knowledge of data governance, security, and regulatory compliance relevant to data platforms.

Preferred Skills

• Experience supporting data migration and cutover testing.
• Familiarity with non-functional testing (performance, scalability).

Key Skills

Education

Bachelor's degree