Senior Quality Engineer

Key Responsibilities :  Data Validation & QA : • Write advanced SQL to validate transformations, joins, aggregations, and business rules across datasets and features. • Create test plans and acceptance criteria for new data products, features, and model outputs. Automated Testing & Quality Gates : • Implement automated data tests (schema, freshness, distribution, reconciliation) using Python and / or data quality frameworks. • Integrate QA checks into CI / CD pipelines and enforce release quality gates. Monitoring & Issue Management : • Set up monitoring for data anomalies and pipeline failures; triage issues and drive root-cause analysis. • Partner with data engineering and ML Ops to improve observability and reduce recurrence. Documentation & Governance : • Document test coverage, known limitations, and lineage; support audits and compliance requirements. • Promote best practices for data definitions and metric consistency. Technical Qualifications Needed : Education : Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field. Mandatory Required skills : • 5+ years of experience in SQL engineering, analytics QA, or data quality roles. • Expert SQL skills including window functions, complex joins, and performance tuning. • Experience with automated testing (Python / pytest) and data quality approaches. • Familiarity with lake house / warehouse platforms (Azure SQL / Synapse / Databricks / Snowflake). • Strong problem-solving and communication skills; ability to work across technical and business teams. Desired Skills : • Experience with Great Expectations, dbt tests, or similar quality frameworks. • Knowledge of ML workflows and validation of model outputs (stability, drift, bias indicators). • Experience building dashboards for data health and QA coverage. Certifications Relevant certifications (e.g., Azure Data Fundamentals, ISTQB) preferred.