Senior Engineer

Senior ETL & AI/ML Test Automation Engineer

Must Have Technical/Functional Skills

ETL & Data Testing

• 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.

Databricks Testing

• 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.

AI/ML Testing

• 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.

Integration Testing

• Perform end-to-end integration testing across:

o Databricks

o Data warehouses

o APIs

o AI/ML services

o Cloud platforms

o Downstream reporting systems

• Validate data flow between source systems, data lakes, ML models, and consuming applications.
• Perform contract testing and API validation.

Test Automation

• Design and develop automation frameworks for:

o ETL testing

o API testing

o Data validation

o 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

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

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