QA & Testing Lead Analyst
Core
Lead Data Testing activities, ETL validation, and quality assurance for data services to ensure data accuracy and integrity across the data lifecycle.
Role type
Senior IC Data Testing Lead / Quality Engineering Lead
Builds
Data Warehousing, Data Integration, Data Migration, Reporting, and Analytics solutions
Domain
Healthcare / Insurance / Financial Services data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL testing, Data Quality, SQL, Data Integration, Data Warehousing, Data Migration, Reporting, Analytics, Data Platform testing, Data lineage, Data integrity controls, Transaction level validation, End-to-end data validation, Data Testing methodologies, Quality Engineering best practices, Data Testing automation, Automated reconciliation, Defect management, Root cause analysis, Agile delivery
Preferred skills
Healthcare/Insurance/Financial Services domain, Cloud data platforms (Azure Data Factory, Databricks, Snowflake, Synapse, Informatica, Talend, DataStage, dbt), CI/CD pipelines, AI enabled testing solutions, Generative AI, Microsoft Copilot, Azure AI, AWS AI
Technologies
Azure Data Factory, Databricks, Snowflake, Synapse, Informatica, Talend, DataStage, dbt, SQL
Responsibilities
Review and challenge testing strategies and approaches for ETL, integrations, and business rules; Provide technical leadership on ETL testing practices, quality controls, and automation; Resolve complex Data Testing and Data Quality challenges; Establish standards for end-to-end data flow testing and data reconciliation; Drive adoption of Data Testing automation and modern quality engineering practices; Conduct technical reviews of testing approaches and automation solutions; Build relationships with Product Owners, Engineering Leads, and stakeholders to improve quality outcomes
Seniority
Senior, hands-on IC with leadership responsibilities
