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SDET - QA Automation Engineer (Python)

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Onsite

SDET - QA Automation Engineer (Python)

Tata Consultancy Services

SDET - QA Automation Engineer (Python)

Skills

SQL QueriesBig DataPythonData ScienceJavaC#.NETTesting & QApandasTensorFlowPostgreSQLMachine LearningAIAWS

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


We are seeking an experienced SDET QA Automation Engineer with strong expertise in Python, Test Automation, SQL, AWS, CI/CD, and Data Validation. The ideal candidate will be responsible for designing and implementing scalable automation frameworks, automating complex data-intensive testing scenarios, and driving quality engineering practices across mission-critical applications.

The role requires hands-on experience in automation engineering, database testing, AI/ML-assisted testing, and cloud-based testing strategies within enterprise environments.

Key Responsibilities

Test Automation & Quality Engineering

  • Design and implement automated testing solutions for large-scale, data-intensive platforms.
  • Develop high-quality functional, regression, integration, and end-to-end automation test scenarios.
  • Build scalable Python-based automation frameworks and testing utilities.
  • Automate backend, middleware, API, database, and data validation testing processes.
  • Ensure software quality through automated regression test frameworks and continuous testing practices.

Python Automation Development

  • Develop automation tools and applications using Python.

  • Build reusable automation components and testing frameworks.

  • Automate SQL Stored Procedure regression, component, and unit testing using:

  • pytest

  • tSQLt

  • Develop maintainable and scalable test automation solutions.

Database & Data Testing

  • Perform database testing across SQL Server and PostgreSQL platforms.

  • Validate large data sets and complex business logic.

  • Automate testing of data-intensive workflows and transformations.

  • Support schema migration and deployment testing using:

  • Liquibase

  • Flyway

AI/ML-Based Testing

  • Utilize AI/ML technologies for:

  • Anomaly detection

  • Data validation

  • Automatic test case generation

  • Drift detection

  • Process optimization

  • Leverage frameworks such as:

  • scikit-learn

  • TensorFlow

  • PyCaret

Performance & Non-Functional Testing

  • Conduct:

  • Performance Testing

  • Load Testing

  • Security Testing

  • Benchmarking

  • Use tools such as:

  • JMeter

  • k6

  • Apache Benchmark

  • SQL Profiler

DevOps & Cloud Testing

  • Integrate automation into CI/CD pipelines.
  • Support continuous testing initiatives.
  • Work with AWS cloud environments and cloud-native platforms.
  • Collaborate closely with engineering, DevOps, and business teams.

Leadership & Mentoring

  • Drive testing best practices and quality engineering standards.
  • Conduct code reviews and mentor junior engineers.
  • Promote engineering excellence and automation-first culture.
  • Continuously improve testing processes and overall product quality.

Required Skills

  • 5+ years of experience as an SDET or QA Automation Engineer.

  • Strong Python programming expertise.

  • Hands-on experience with:

  • pytest

  • Pandas

  • Automation Framework Development

  • Strong experience in:

  • Automation Testing

  • Test Framework Design

  • Test Case Development

  • Strong SQL experience:

  • SQL Server

  • PostgreSQL

  • Experience with:

  • Liquibase

  • Flyway

  • Experience automating database and backend testing.

  • Knowledge of AI/ML technologies for automated testing and anomaly detection.

  • Experience with AWS cloud technologies including:

  • EC2

  • EKS

  • Lambda

  • Familiarity with CI/CD tools and automation processes.

  • Strong understanding of software engineering principles.

Preferred Skills

  • C# .NET development exposure.
  • Java development experience.
  • Angular or Silverlight application testing.
  • Financial Markets domain experience.
  • Equities and Fixed Income domain knowledge.
  • Performance testing expertise.
  • Data Science and Machine Learning exposure.
  • AWS Native Services.

Desired Candidate Profile

  • Strong analytical and problem-solving mindset.
  • Excellent written and verbal communication skills.
  • Ability to work effectively within Agile teams.
  • Strong focus on automation and continuous improvement.
  • Proven mentoring and leadership capabilities.
  • Passion for engineering excellence and quality assurance.

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