Technical Lead

Job Description

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.

Desired Candidate Profile
Qualifications :

BACHELOR OF COMPUTER SCIENCE: