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Automation Testing Engineer (Strong Python + ETL)

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Onsite

Automation Testing Engineer (Strong Python + ETL)

Tata Consultancy Services

Automation Testing Engineer (Strong Python + ETL)

Skills

Google Cloud PlatformSQL QueriesPythonTesting & QAAIAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 October 2026

What they need


Hiring: Automation Testing Engineer (Strong Python + ETL) | PAN India

📍 Location: PAN India

📅 Notice Period: Up to 90 Days

💼 Experience: 8-10 Years

We are looking for an experienced Automation Testing Engineer with strong expertise in Python, ETL Testing , and exposure to GCP services . The ideal candidate should have hands-on experience in automation frameworks, data validation, BDD practices, and CI/CD processes.

Key Skills

Primary Skills

  • Automation Testing
  • Strong Python Programming
  • ETL Testing & Data Validation
  • Test Automation Framework Development
  • API Testing

Secondary Skills

  • BDD Cucumber
  • Azure DevOps
  • CI/CD Pipeline Integration

Basic GCP Knowledge

  • Google Cloud Monitoring & Alerting
  • BigQuery
  • Vertex AI (basic understanding)
  • GCP ecosystem exposure

Roles & Responsibilities

  • Design, develop, and maintain scalable automation frameworks using Python.
  • Perform ETL/data validation testing across multiple data sources.
  • Create and execute automated test scripts for web applications, APIs, and data pipelines.
  • Implement BDD test scenarios using Cucumber.
  • Validate data integrity, transformations, and end-to-end ETL workflows.
  • Work closely with developers, data engineers, and business stakeholders to understand requirements.
  • Integrate test automation with Azure DevOps CI/CD pipelines.
  • Monitor application quality metrics and ensure timely defect resolution.
  • Support testing activities in cloud-based environments, particularly GCP.

Desired Experience

  • 8-10 years of QA/Automation Testing experience.
  • Strong hands-on coding experience in Python.
  • Experience in ETL/Data Warehouse testing.
  • Knowledge of SQL and database validation techniques.
  • Understanding of GCP services such as BigQuery, Monitoring, Alerting, and Vertex AI.
  • Experience with Agile/Scrum methodologies.
  • Strong problem-solving and communication skills.

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