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ETL Tester Job Description

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Onsite

ETL Tester Job Description

Datagaps

ETL Tester Job Description

Skills

Google Cloud PlatformSQL QueriesPythonSnowflakeDatabricksPostmanSeleniumAWSJiraAzure

22 days ago

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Important information


Contract type:

Permanent

Salary:

₹800,000 – ₹1,800,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

5 October 2026

What they need


We are looking for a highly skilled ETL Tester with strong experience in ETL Testing, SQL, API Testing, and Manual Testing. The ideal candidate should have worked extensively in product-based companies and possess strong analytical and problem-solving skills. The candidate will be responsible for validating data pipelines, ensuring data accuracy, testing APIs, and maintaining data quality across enterprise applications.

Mandatory Skills

  • Strong experience in ETL Testing
  • Excellent SQL skills with complex query writing and data validation
  • Hands-on experience in API Testing using Postman, Swagger, or similar tools
  • Strong exposure to Manual Testing
  • Experience in Data Warehouse Testing
  • Good understanding of ETL tools and data integration concepts
  • Experience in validating data mappings, transformations, and business rules
  • Strong knowledge of SDLC and STLC
  • Experience working in Product-Based Companies is mandatory
  • Defect tracking using Jira, Azure DevOps, or similar tools

Key Responsibilities

  • Validate ETL workflows, data transformations, and loading processes.
  • Develop and execute test cases, test plans, and test scenarios.
  • Perform source-to-target data validation.
  • Validate large datasets using complex SQL queries.
  • Conduct API testing to verify functionality, performance, and data integrity.
  • Identify, log, and track defects through closure.
  • Ensure data accuracy, completeness, consistency, and quality.
  • Work closely with Developers, Data Engineers, Business Analysts, and Product Teams.
  • Participate in requirement analysis and provide test estimates.
  • Perform regression, integration, and end-to-end testing.

Good to Have

  • Knowledge of Automation Testing (Selenium, Rest Assured, or similar tools)
  • Exposure to Cloud Platforms (AWS, Azure, or GCP)
  • Experience with Snowflake, Databricks, Redshift, or similar data platforms
  • Basic knowledge of Python scripting

Preferred Background

  • Experience working in Product-Based Organizations
  • Strong understanding of data warehousing concepts
  • Experience testing large-scale data integration projects
  • Excellent communication and stakeholder management skills

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