What are the responsibilities and job description for the QA Lead position at VDart Inc?
Job Title: QA Lead
Location: St Louis, MO - Remote
Duration: 6 months Contract
Job Description:
- 10 years of experience in data quality testing, with at least 5 years in a lead role.
- Hands-on experience with BigQuery, SQL, and Python for data validation and test automation.
- Strong understanding of ETL testing, data warehouse testing, and data lake validation.
- Experience with data testing frameworks
- Familiarity with cloud-based CI/CD tools and integrating test automation.
- Strong analytical and problem-solving skills for debugging data issues.
Key Responsibilities:
Test Strategy & Planning:
- Develop and implement a data quality testing strategy covering data lake, data warehouse, and data pipelines.
- Define test plans, test cases, and automation frameworks for data validation, transformation logic, and system integration.
- Establish best practices for data quality testing, anomaly detection, and root cause analysis.
- Establish Entry & exit criteria and acceptance criteria for Functional testing.
- Establish plan & strategy for Performance testing.
Test Execution & Automation:
- Perform functional, regression, and performance testing of data pipelines and transformations.
- Coordinate with & mentor Test Engineers / Data Quality Testers, Data Quality Analysts for successful Test execution.
- Coordinate with offshore members (if any) for completion of Testing Life Cycle and adherence to Testing standards.
- Automate data validation and reconciliation using Python, SQL, and testing frameworks.
- Work with engineering teams to integrate automated tests into CI/CD pipelines for continuous testing.
- Develop data comparison and anomaly detection scripts for large datasets in BigQuery.
Collaboration & Stakeholder Management:
- Partner with data engineers, analysts, and business teams to define data quality requirements.
- Work closely with DevOps to integrate data testing automation into deployment pipelines.
- Lead data quality issue triaging, debugging, and resolution efforts.
- Communicate data quality KPIs and test results to stakeholders.
- Collaborate with UAT Testers as early in the life cycle
Key Skills:
Data Quality Testing, BigQuery, SQL, Python, Test Automation, Data Validation, ETL.
