ETL / Data Warehousing Tester | SQL | AI Exposure | Pune | 2+ Years

ETL / Data Warehousing Testing | AI Exposure

Location: Pune

Experience: 2 to 8 Years

Salary: Up to 11 LPA

Shift: Flexible with Rotational Shifts

Notice Period: Immediate to 30 Days

Qualification: Any Graduate

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Job Summary

We are looking for experienced ETL Testing and Data Warehousing Testing professionals with strong expertise in SQL, Database Testing, Data Validation, and Data Quality Assurance. The ideal candidate will be responsible for validating ETL workflows, ensuring data integrity, and supporting enterprise data warehouse testing initiatives.

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Key Responsibilities

Perform ETL Testing and Data Warehouse Testing across enterprise applications.

Validate source-to-target mappings, data transformations, and business rules.

Write and execute complex SQL queries for data validation and reconciliation.

Verify data accuracy, completeness, consistency, and integrity across systems.

Analyze large datasets and identify data quality issues.

Conduct Database Testing and ensure successful ETL processing.

Execute test cases, test scenarios, and test plans for data validation.

Collaborate with Developers, Business Analysts, Data Engineers, and QA teams.

Participate in Agile, Scrum, and Waterfall project environments.

Support defect management, root cause analysis, and issue resolution.

Contribute to AI-assisted testing initiatives and modern quality engineering practices.

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Required Skills

ETL Testing

Data Warehousing Testing

SQL & Advanced SQL Queries

Database Testing

Data Validation & Reconciliation

Data Quality Assurance

Source-to-Target Mapping Validation

Defect Tracking & Analysis

STLC & Testing Methodologies

Agile / Scrum Environment

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Preferred Skills

Exposure to Data Warehouse Platforms

ETL Tools Knowledge

Functional Testing

API Testing

Automation Testing Exposure

AI-Based Testing Tools Exposure

Data Analytics & Reporting Knowledge

Strong Stakeholder Communication

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Desired Candidate Profile

2+ years of hands-on experience in ETL and Data Warehouse Testing.

Strong expertise in SQL and Database Validation.

Good understanding of ETL architecture, Data Models, and Data Pipelines.

Ability to analyze large volumes of data and identify discrepancies.

Experience working with enterprise reporting and analytics systems.

Excellent analytical, problem-solving, and communication skills.

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Why Join

Opportunity to work on enterprise-scale Data Warehouse and Analytics projects.

Exposure to modern AI-assisted testing methodologies.

Career growth in ETL Testing, Data Engineering QA, and Data Quality domains.

Collaborative and technology-driven work environment.

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Apply Now

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