[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Charlotte, NC # Engineer Software Testing Charlotte, NC Software Engineering Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/423742J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Engineer Software Testing ## Job description 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 - Databricks - Data warehouses o APIs o AI/ML services - Cloud platforms - 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 - 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 #LI-JH1