- Data Validation Lead

Position: Data Validation Lead

Experience:5+ Years

Budget: 16-18 LP

Notice : Immediate

Location: Remote

Highlighted is mandatory skills

Role Overview

We are looking for an experienced Data Validation Lead with 5+ years of experience in data validation, data quality, and testing. The candidate will be responsible for leading data validation activities, ensuring data accuracy and integrity, and coordinating a team of 3 members.

The ideal candidate should have strong hands-on experience with Python-based data validation, data comparison, reconciliation, validation frameworks, and test automation. The candidate should also have strong leadership and communication skills to manage validation activities and deliverables.

Key Responsibilities

- Lead end-to-end data validation and reconciliation activities across data migration, integration, and transformation projects.
- Lead and mentor a team of 3 data validation/QA engineers.
- Define the overall data validation strategy, approach, scope, and execution plan.
- Review business and technical requirements and translate them into data validation scenarios and test cases.
- Develop and maintain Python-based data validation scripts and automation frameworks.
- Perform source-to-target data validation and reconciliation.
- Validate data completeness, accuracy, consistency, uniqueness, and integrity.
- Perform record-level and field-level data comparisons between source and target systems.
- Identify data discrepancies, investigate root causes, and coordinate with development/data engineering teams for resolution.
- Design reusable validation utilities and Python frameworks to improve testing efficiency.
- Automate repetitive data validation and reconciliation processes using Python.
- Validate large datasets efficiently using Python libraries such as Pandas, NumPy, or similar tools.
- Prepare validation reports, defect reports, and execution summaries.
- Track defects and coordinate with technical teams through resolution and retesting.
- Review team members validation scripts, test cases, and execution results.
- Establish best practices, coding standards, and validation processes for the team.
- Monitor validation progress, risks,



dependencies, and deliverables.
- Provide regular status updates to project managers and stakeholders.
- Support root-cause analysis of data quality and migration issues.
- Ensure validation activities are completed within agreed timelines and quality standards.

Required Technical Skills

Python

- Strong hands-on experience with Python.
- Experience developing data validation and reconciliation scripts.
- Good knowledge of Pandas and NumPy.
- Experience working with large datasets.
- Ability to build reusable validation utilities/frameworks.
- Knowledge of exception handling, logging, file processing, and reporting in Python.

SQL & Database Validation

- Robust SQL skills.
- Experience validating data across different databases/systems.
- Experience with source-to-target data validation.

Data Validation

- Data completeness validation.
- Data accuracy validation.
- Data consistency validation.
- Data integrity validation.
- Duplicate and uniqueness checks.
- Null/mandatory field validation.
- Data type and format validation.
- Record count reconciliation.
- Field-level and record-level comparison.
- Source-to-target reconciliation.
- ETL/data migration validation.

Leadership Responsibilities

- Lead and coordinate a team of 3 members.
- Assign validation activities based on project priorities and team capabilities.
- Review and approve test scenarios, test cases, and validation scripts.
- Conduct regular team reviews and track individual/team progress.
- Mentor team members on Python, SQL, and data validation practices.
- Resolve technical blockers and escalate project risks when required.
- Ensure consistent quality and execution standards across the team.
- Coordinate with developers, data engineers, QA teams, business analysts, and project stakeholders.

Preferred Skills





- Experience with data migration or ETL validation projects.
- Experience working with cloud-based data platforms.
- Knowledge of REST APIs and API data validation.
- Experience working with CSV, Excel, JSON, XML, and other data formats.
- Experience with Git/GitHub or similar version-control systems.
- Knowledge of CI/CD and automated validation execution.
- Experience with PyTest or other Python testing frameworks.
- Experience generating automated validation/reconciliation reports.
- Experience working in Agile/Scrum environments.

Key Deliverables The Data Validation Lead will be responsible for:

1. Data Validation Strategy and Approach
2. Validation Test Scenarios and Test Cases
3. Python Validation Scripts/Frameworks
4. Source-to-Target Reconciliation
5. Data Quality Reports
6. Defect/Discrepancy Reports
7. Validation Execution Reports
8. Root Cause Analysis
9. Team Progress and Status Reports
10. Final Validation Sign-off/Recommendation

Behavioral & Leadership Competencies

- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder-management skills.
- Strong ownership and accountability.
- Ability to work independently and lead a small technical team.
- Ability to troubleshoot complex data issues.
- Good documentation and reporting skills.
- Ability to manage multiple validation activities and priorities.
- Strong attention to detail and data accuracy.

Education Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

Overall Profile The ideal candidate is a hands-on Data Validation Lead who can balance technical execution with team leadership. The candidate should be capable of independently designing Python-based validation solutions, performing complex data reconciliation, reviewing team deliverables, troubleshooting data issues, and leading a team of 3 engineers to deliver high-quality validation outcomes.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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