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. 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