Senior Engineer

Must Have Technical/Functional Skills

• Validate end-to-end ETL/ELT pipelines across enterprise data platforms.
• Perform Source-to-Target validation and reconciliation testing.
• Validate data transformations, aggregations, business rules, and lineage.
• Execute data quality checks on large-scale structured and semi-structured datasets.
• Perform schema, metadata, and Delta Lake validations.
• Write complex SQL queries for backend validation and data integrity testing.
• Validate CDC (Change Data Capture) and incremental data loading processes.
• Test batch and streaming data pipelines.
• Validate Databricks notebooks, Workflows, Jobs, Delta Live Tables, and Unity Catalog implementations.
• Test Bronze, Silver, and Gold layer data transformations.
• Verify workflow orchestration and dependency handling across Databricks jobs.
• Perform performance validation of Spark and PySpark transformations.
• Validate data quality frameworks implemented in Databricks.
• Validate AI/ML model integrations within enterprise applications.
• Verify model scoring results and prediction outputs.
• Perform data drift, schema drift, and feature validation testing.
• Validate feature engineering pipelines and training datasets.
• Execute model input/output verification against expected business outcomes.
• Validate explainability, traceability, and auditability requirements.
• Test model deployment workflows integrated through MLflow, Databricks ML, Azure ML, or similar platforms.
• Validate GenAI/RAG workflows, prompt-response accuracy, and grounding mechanisms where applicable.
• Perform end-to-end integration testing across:
• Databricks
• Data warehouses
• APIs
• AI/ML services
• Cloud platforms
• Downstream reporting systems

Test Automation

• Design and develop automation frameworks for:
• ETL testing
• API testing
• Data validation
• ML model validation
• Build reusable test utilities using Python.
• Integrate automated tests into CI/CD pipelines.
• Develop automated quality gates for deployment validation.
• Generate automated execution reports and test metrics.

Required Experience

• 6+ years of experience in ETL/Data Testing.
• 3+ years of experience testing Databricks or Spark-based platforms.
• Hands-on experience in AI/ML Model Testing or MLOps validation.
• Strong coding experience in Python and SQL.

Education

• Bachelor's degree

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $120000 - $130000 a year