- Test multiple dashboards and certify that displayed metrics match underlying backend data.
- Test prompt‑based AI tools to ensure accurate and expected responses are returned to the UI.
- Verify data accuracy as various business rules and transformations are applied.
- Understand end‑to‑end data flow and validate content across UI screens.
- Evaluate data transformations, aggregations, and data movement across systems.
- Create and execute test scenarios for various APIs; prepare request payloads and analyze JSON/XML responses.
- Validate data ingestion from disparate sources into data platforms including Azure Databricks.
- Test ETL pipelines and workflows across Azure Databricks, Azure Data Factory, and Delta Lake environments.
- Thoroughly test business rules for data transformations and complex aggregations.
- Use SQL, Python, or PySpark to validate data within Databricks databases.
- Test source‑to‑target mapping across transformed, joined, aggregated, and downstream datasets.
- Automate recurring QA processes using Python, PySpark, or Java.
- Design and develop an automation framework using PyTest for data validation.
- Build and maintain automated test scripts, including enhancements to existing frameworks.
- Utilize code repository tools to create branches, manage pull requests, and handle code merges.
- Use SonarQube to maintain code quality and resolve code smells.
- Create and execute detailed manual test cases based on functional and technical requirements in Jira.
- Log and track defects in Jira; work with development teams for defect recreation and validation.
- Create and maintain test cases in TestRail.
- Participate actively in daily stand‑ups and collaborate across global teams.
- Ensure progress tracking and timely task updates in Jira.
- 3+ years of writing complex SQL queries.
- 3+ years of building test automation for data‑intensive workloads.
- 3+ years of Python or PySpark programming experience.
- 2+ years of experience with Apache Delta Lake or Databricks (Azure Databricks preferred).
- 1+ year of experience testing AI chat/prompt‑based tools.
- Experience with Git‑based code repositories (branches, PRs, merges).
- Strong understanding of data file formats (JSON, Parquet, Avro, etc.).
- Ability to quickly learn new technologies.
- Excellent problem‑solving and analytical skills.
- Understanding of clean code principles and software engineering best practices.
- Experience working in Jira.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Proven experience in a fast‑paced Agile environment with high attention to detail.
- Experience across full software development life cycle (SDLC).
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Data Quality - Detroit - Net2Source (N2S)
Description
Job Title: Data Quality & Automation Test Engineer
Location: Detroit , MI , Hybrid (-3 Days work from office)
Duration: Long Term Contact
Experience Required: 6+ Years
Position Summary
We are seeking an experienced Test Engineer to support a data‑centric analytics product suite. This role is responsible for leading all testing efforts, including requirement analysis, test case creation, test execution, defect management, coordination with cross‑functional teams, and ensuring high‑quality delivery.
The ideal candidate is a data enthusiast with strong experience in validating metrics, working with complex data pipelines, and testing AI prompt‑based tools. This individual will collaborate closely with product owners, technical teams, business teams, project managers, external vendors, and offshore testing teams.
Key Responsibilities
Dashboard, Data & UI Validation
API, ETL & Data Engineering Testing
Test Automation & Code Quality
Agile, Documentation & Defect Management
Required Qualifications
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Data Quality
Only for registered members Detroit
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Data Quality
Only for registered members Detroit, MI
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Quality Data Analyst
Only for registered members Detroit, MI
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ETL - Data Quality Atacama Admin
Only for registered members Detroit
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Data Quality Engineer
Only for registered members Dearborn
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Data Quality Engineering Lead
Freelance Only for registered members Dearborn
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Data Quality Engineering Lead
Only for registered members Dearborn
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Data Quality Analyst
Only for registered members Auburn Hills
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Senior Manager, Data Quality
Only for registered members Warren
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Data Analyst – Supplier Quality Data Analytics Group
Only for registered members Warren, MI
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Data Quality Engineering Lead
Only for registered members Dearborn, MI
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Data Quality Engineering Lead
Only for registered members Dearborn, MI
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Data Analyst – Supplier Quality Data Analytics Group
Only for registered members Warren
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Data Analyst – Supplier Quality Data Analytics Group
Full time Only for registered members Warren
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Data Analyst – Supplier Quality Data Analytics Group
Only for registered members Warren, MI
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Data Analyst
Only for registered members Detroit
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Sr. Data Analyst
Only for registered members Detroit
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Data Ingest Operations Manager
Only for registered members Detroit
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Oncology Data Specialist- Certified
Only for registered members Detroit
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Data Analyst III
Only for registered members Detroit