Senior QA Engineer – GCP Automation (Python + BigQuery + Dataform + Pub/Sub) – Pan India 6+ Yeras

Full-Time @Algae Services
  • Pan India View on Map
  • Post Date : November 28, 2025
  • Salary: ₹1,500,000.00 - ₹1,800,000.00 / Yearly
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Job Detail

  • Job ID 61834

Job Description

Senior QA Engineer – GCP Automation (Python + BigQuery + Dataform + Pub/Sub)

  • Client: LTI Mindtree
  • Job ID: 811354
  • Salary: ₹15–18 LPA
  • Location: PAN India
  • Experience: 6+ Years

Job Summary

We are looking for an experienced GCP QA Automation Engineer with strong hands-on expertise in BigQuery, Dataform, Pub/Sub, Python, and cloud-based data pipeline testing. The ideal candidate must have deep knowledge of automation testing, scalable data validation, ETL/ELT testing, and cloud-native test execution on GCP.

Must-Have Skills (Non-Negotiable)

  • Expert-level Selenium automation and ability to handle scenario-based automation challenges.
  • BigQuery
  • Pub/Sub
  • Dataform
  • Strong Python-based scripting for test automation.
  • Experience testing scalable data pipelines on the GCP ecosystem.
  • Strong experience in ETL/ELT testing.

Detailed Responsibilities

  • Perform end-to-end QA testing for data pipelines deployed on Google Cloud Platform.
  • Create, maintain, and execute Selenium-based automation frameworks.
  • Develop Python automation scripts for validation, workflow tests, and pipeline verification.
  • Validate complex data transformations, ingestion workflows, and event-driven systems using Pub/Sub.
  • Execute SQL-based validations and data quality checks in BigQuery.
  • Test Dataform workflows, dependencies, models, and data lineage.
  • Work within CI/CD pipelines and adopt test-driven development practices.
  • Perform performance testing and large-scale data validation.
  • Collaborate closely with data engineers, developers, and business teams to ensure high-quality releases.
  • Leverage AI/advanced tools to accelerate test execution and automation (nice to have).

Preferred Qualifications

  • Degree in Computer Science or related field.
  • Prior experience in QA for data platforms, distributed systems, or cloud-native applications.
  • Familiarity with continuous integration tools and cloud-native test frameworks.

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