Skill: Data QA Lead
Required Skills (Mandatory):
- Strong hands-on expertise in Python and SQL.
- Extensive experience in ETL testing and data pipeline validation.
- Deep understanding of ETL architecture and data warehousing concepts.
- Proven ability in root cause analysis of data issues.
- Strong communication and stakeholder management skills.
- Experience leading data testing or QA teams
Preferred Skills (Good to Have):
- Experience with SAS.
- Familiarity with ETL tools (Informatica, Talend, SSIS).
- Knowledge of data orchestration tools (Airflow).
- Exposure to cloud data platforms (AWS, Azure, GCP).
- Experience with test automation frameworks
Domain Expertise:
- Strong understanding of Banking and Financial Services.
- Experience working with: Financial data systems, Regulatory and compliance requirements, Data reconciliation and reporting
Key Competencies:
- Leadership and decision-making.
- Strong analytical and problem-solving skills.
- Attention to detail and data accuracy.
- Effective communication and collaboration.
- Ability to manage multiple priorities in fast-paced environments
Roles & Responsibilities
Key Responsibilities
Leadership & Delivery
- Lead the Data/ETL Testing (EDT) team and own end-to-end quality deliverables.
- Drive testing strategy, planning, execution, and reporting across projects.
- Act as the primary point of accountability for data quality and pipeline validation.
- Mentor team members in Python, SQL, and ETL testing best practices.
Data Testing & Technical Oversight
Oversee quality across all phases:
- Requirement analysis
- Test design and scripting
- Test execution and reporting
- Lead ETL/data pipeline validation, ensuring data accuracy, completeness, and consistency.
Use Python and SQL for:
- Data validation and reconciliation
- Automation of test cases
Data profiling and analysis
- Conduct and lead root cause analysis (RCA) for data issues and drive permanent fixes.
- Validate data transformations, mappings, and business rules.
Risk Identification & Quality Assurance
- Identify gaps, ambiguities, and inconsistencies in data flows, UI, and workflows.
Highlight risks related to:
- Technical debt
- Data quality issues
- Schedule slippage
- Ensure adherence to data governance, compliance, and quality standards, especially in Banking & Finance context.
Planning & Governance
- Estimate and manage the testing effort and resource allocation.
- Coordinate with Shared Services teams for testing needs.
- Manage PLC checkpoints, traceability, and test coverage metrics.
- Perform test result triage and ensure timely defect resolution.
- Provide regular updates on application/project health and data quality metrics.
Collaboration & Communication
Build strong partnerships with:
- Tech Leads
- Project Managers
- Business Analyst
- Data Engineers
Actively participate in:
- Grooming sessions
- Sprint planning & status meetings
- Lead the testing communication plan, ensuring transparency with stakeholders.
- Translate banking/business requirements into data validation scenarios
Salary Range - $100,000-$120,000 a year
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
