QA & Testing Lead Analyst

Cigna Healthcare; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Cigna Healthcare is seeking an experienced Data Services Test Lead to provide technical leadership across Data Testing activities. You will guide ETL testing, data validation, and quality engineering practices while promoting standardized testing across Data Services teams.

This role focuses on end-to-end data validation, data integrity, and robust testing of data lifecycle processes, including data reconciliation and automation strategies, across ETL, integration, warehousing, migration,

Qualifications

• Must have led ETL, Data Integration, Data Warehouse testing initiatives.
• Experience validating ETL processes, source-to-target mappings, and data reconciliation.
• Strong SQL skills for complex data analysis, validation, and RCA.
• Knowledge of data lineage, data integrity controls, and end-to-end data validation.

Responsibilities

• Review testing strategies and coverage for source data, transformations, and downstream impacts.
• Provide guidance on ETL testing practices, quality controls, tooling, and automation.
• Support multiple Data Services teams to resolve data quality challenges across ETL, warehousing, migration, reporting and analytics.
• Establish standards for end-to-end data flow testing, source-to-target validation, and regression testing.
• Perform detailed reviews of ETL testing approaches, mappings, reconciliation methods, and automation solutions.
• Drive adoption of data testing automation and modern quality engineering practices.

Skills

ETL Testing

Data Warehouse

SQL Skills

Data Quality

Data Validation

Agile

Tools

Azure Data Factory

Databricks

Snowflake

Informatica

Talend

dbt

CI/CD

Job description

About Cigna

Cigna Healthcare exists to improve lives. Together, with our global workforce, we are committed to making healthcare more affordable, predictable, and simple. As part of our continued growth and transformation, we are investing in modern Quality Engineering practices, automation, and AI enabled testing capabilities to support the delivery of high quality digital solutions for our customers.

The Position

We are looking for an experienced Data Services Test Lead to provide technical leadership and oversight of Data Testing activities across Data Services teams.

This role will act as the Data Testing subject matter expert across Data Services, providing guidance on ETL Testing, test automation, test strategy, and quality assurance practices. The role will work closely with Data Testers across multiple Data Services teams to promote consistent testing approaches, review testing and automation practices, challenge ineffective approaches, and help resolve complex Data Testing and Data Quality issues.

A key focus of the role is ensuring robust end to end validation of data throughout the full data lifecycle, helping teams strengthen testing practices and increase confidence in the accuracy, integrity, and reliability of data solutions.

Key Responsibilities

• Review and challenge testing strategies, requirements coverage, test coverage, and testing approaches to ensure appropriate validation of source data, transformation logic, integrations, business rules, and downstream impacts.
• Provide technical leadership, guidance, and support to Data Testers and stakeholders on Data Testing approaches, ETL testing practices, quality controls, tooling, automation, and industry best practices.
• Support teams in resolving complex Data Testing and Data Quality challenges across ETL, Data Integration, Data Warehousing, Data Migration, Reporting, and Analytics solutions.
• Establish and promote standards for end-to-end data flow testing, source to target validation, data reconciliation, data integrity verification, and regression testing.
• Perform detailed reviews of ETL testing approaches, SQL validation techniques, source to target mappings, reconciliation methods, and automation solutions to ensure effective and consistent testing practices across Data Services teams.
• Establish standards for source to target mapping reviews, test data validation, and end to end data integrity verification across Data Services solutions.
• Drive adoption of Data Testing automation, automated reconciliation, and modern quality engineering practices to improve testing effectiveness and efficiency.
• Conduct technical reviews of testing approaches, test evidence, automation solutions, reconciliation controls, and quality checks to identify risks, gaps, and opportunities to improve Data Testing effectiveness.
• Establish standards for defect management, root cause analysis, defect reporting, and continuous improvement activities.
• Build strong relationships with Product Owners, Engineering Leads, Architects, Scrum Masters, and business stakeholders to understand priorities, address risks, and improve quality outcomes.

Required Skills and Experience

• Extensive experience leading ETL, Data Integration, Data Warehouse, and Data Platform testing activities.
• Extensive experience in Data Testing, ETL Testing, Data Quality, or Data Quality Engineering roles.
• Experience validating ETL processes, source to target mappings, transformation logic, data reconciliation, business rules, and end to end data flows, including transaction level validation and downstream system verification.
• Strong SQL skills with experience performing complex data analysis, validation, reconciliation, troubleshooting, and root cause analysis.
• Experience testing Data Warehousing, Data Integration, Data Migration, Reporting, Analytics, and Data Platform solutions.
• Experience reviewing and challenging testing approaches to ensure adequate coverage of data transformations, integrations, downstream impacts, quality controls, and business risks.
• Strong understanding of data lineage, data integrity controls, transaction level validation, and end to end data validation principles.
• Strong understanding of Data Testing methodologies, Data Quality frameworks, and Quality Engineering best practices.
• Experience driving Data Testing automation, automated reconciliation, and quality improvement initiatives.
• Experience defining and implementing Data Testing standards, frameworks, and technical best practices across multiple delivery teams.
• Experience supporting multiple Agile delivery teams and influencing quality outcomes across complex delivery environments.
• Strong stakeholder management, communication, facilitation, and influencing skills.
• Strong analytical, problem solving, risk management, and continuous improvement mindset.

Desirable Skills and Experience

• Experience working within Healthcare, Insurance, Financial Services, or other regulated industries.
• Experience with cloud data platforms and technologies such as Azure Data Factory, Databricks, Snowflake, Synapse, Informatica, Talend, DataStage, dbt, or similar solutions.
• Experience with Data Testing automation frameworks, quality engineering practices, and CI/CD pipelines.
• Experience evaluating emerging technologies, innovation initiatives, and Proof of Concepts.
• Experience leveraging AI enabled solutions to improve Data Testing, analysis, reporting, or Quality Engineering practices.
• Professional certifications in Data Quality, Data Management, Quality Engineering, Testing, Agile, or related disciplines.
• Certifications or recognised training in Artificial Intelligence, Generative AI, Microsoft Copilot, Azure AI, AWS AI, or related AI technologies.

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.