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Salary
≈ $12k – $30k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp
Employment
Full-Time

First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Atyeti accelerates enterprise digital transformation with Cloud, Agentic AI, Platform Engineering, and Banking & Capital Markets technology solutions.

Atyeti is a US based Software Development Company with global offices in Singapore, Malaysia, Hong Kong, Philippines, US, UK and India- Pune and Hyderabad. We are a 100-million-dollar company and Attached a one-page brief about our company for your quick reference, for more information please visit www.atyeti.com.

Job Summary

We are looking for a strong ETL Test Automation Engineer with 6–10 years of experience in ETL/Data Testing, SQL, Python-based automation frameworks, and regression testing. The candidate should have strong hands-on experience in both Manual Testing and Automation Testing, with a focus on building and maintaining automated test frameworks for data and ETL pipelines.

Required Skills

  • 6–10+ years of QA/Test Automation experience, with strong experience in ETL/Data Testing.
  • Strong hands-on experience with SQL and database testing.
  • Strong Python programming skills.
  • Experience developing or working with Python-based test automation frameworks such as PyTest, Robot Framework, or similar.
  • Strong experience in Automation Testing and Regression Testing.
  • Good understanding of ETL processes, data pipelines, data transformation, and data validation.
  • Strong experience in Manual Testing concepts and QA processes.
  • Experience in developing reusable automation scripts/framework components.
  • Good understanding of API/Integration Testing is an advantage.
  • Experience with Git, CI/CD, Jenkins/Azure DevOps or similar tools is preferred.
  • Strong analytical and debugging skills.

Good to Have

  • Exposure to AI/GenAI-assisted testing or AI-based test automation.
  • Experience using AI tools to generate test cases, improve automation coverage, or analyze test failures.
  • Experience with Cloud data platforms such as AWS, Azure, or GCP.
  • Exposure to PySpark, Databricks, Snowflake, or other modern data technologies.
  • Experience working in Agile/Scrum environments.

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