Please strictly adhere to the following resume naming convention:
Education Start date (dd-mmm-yy) Duration of assignment (in Months)
6+ years of experience in
ETLData Testing.
3+ years of experience testing
Databricks or Spark-based
platforms.
Hands-on experience in
AIML Model Testing or
MLOps validation.
Strong coding experience in
Python and SQL.
10012026 Long Term
Work Location (State, City and
Zip) Base salary range (Min. & Max. to be mentioned) Experience Range:
Louisville DallasRemote 7+ Years
Must Have TechnicalFunctional Skills
ETL & Data Testing
Validate end-to-end ETLELT 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. AIML Testing Validate AIML 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 inputoutput 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 GenAIRAG 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 AIML 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 CICD pipelines. Develop automated quality gates for deployment validation. Generate automated execution reports and test metrics.
Role Descriptions: Sr. Automation Tester with ETLDatabricksML Testing Experience
Essential Skills: Sr. Automation Tester with ETLDatabricksML Testing Experience
Desirable Skills:
Keyword:
Skills: HiTech : Automation Testing
Experience Required: 8-10
