| Job Description: | Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Education Start date (dd-mmm-yy) Duration of assignment (in Months) 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. 10/01/2026 Long Term Work Location (State, City and Zip) Base salary range (Min. & Max. to be mentioned) Experience Range: Louisville/ Dallas/Remote 7+ Years 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. 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 |
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| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

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