Negotiable
Outside
Remote
USA
Summary: The Data QA Lead position requires over 10 years of experience in data quality assurance and testing, with a minimum of 5 years in a leadership role. The role emphasizes strong expertise in Azure Databricks and hands-on experience with Azure Data Factory, alongside proficiency in Python, PySpark, and SQL for test automation. The candidate should possess strong communication and leadership skills for effective cross-functional teamwork, with familiarity in Agile/Scrum methodologies being a plus. This is a remote position based in the USA, with a focus on data governance and quality frameworks.
Key Responsibilities:
- 10+ years in data QA/testing, with at least 5 years in a lead role.
- Strong expertise in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog).
- Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD).
- Proficiency in Python, PySpark, SQL for test automation.
- Familiarity with Great Expectations, Azure DevOps, and Collibra.
- Knowledge of data governance, PII compliance, and data quality frameworks.
- Experience in CI/CD pipelines, DevOps practices, and cloud data platforms.
- Strong communication and leadership abilities for cross-functional teamwork.
- Experience with Agile/Scrum methodologies is a plus.
Key Skills:
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Position: - Data QA Lead
Experience:-10+ Years
Location:-Remote
Responsibilities:-
10+ years in data QA/testing, with at least 5 years in a lead role.
Strong expertise in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog).
Hands-on experience with Azure Data Factory (pipelines, monitoring, CI/CD).
Proficiency in Python, PySpark, SQL for test automation.
Familiarity with Great Expectations, Azure DevOps, and Collibra.
Knowledge of data governance, PII compliance, and data quality frameworks.
Experience in CI/CD pipelines, DevOps practices, and cloud data platforms.
Strong communication and leadership abilities for cross-functional teamwork.
Experience with Agile/Scrum methodologies is plus.
Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
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