SQL Analyst - INTL India

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.

• 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.

• 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.

• Document test coverage, known limitations, and lineage; support audits and compliance requirements.
• Promote best practices for data definitions and metric consistency.

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• 3–6+ 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 lakehouse/warehouse platforms (Azure SQL/Synapse/Databricks/Snowflake).
• Strong problem‑solving and communication skills; ability to work across technical and business teams.

• 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.