Coforge | Automation Test Analyst

1 month ago

gurugram, India Coforge Full time

Role: Automation Tester ( Data Engineering)

Skills: ETL Testing, Unit test, Pytest, Python , Java , selenium

Experience: 5+ years

Location: Gurugram

Notice Period: Immediate to 30 would be preferred


We are seeking a skilled Automation Tester to join our dynamic team. The ideal candidate will have a strong background in data engineering, proficiency in Python, and experience with ETL testing. You will play a crucial role in ensuring the quality and reliability of our data-driven applications.

Key Responsibilities:

  • Design, develop, and maintain automated test scripts for data pipelines and ETL processes.
  • Collaborate with data engineers and developers to understand data flows and identify testing requirements.
  • Execute automated tests and analyze results to ensure data integrity and performance.
  • Identify, document, and track defects using (insert defect tracking tool).
  • Participate in code reviews and contribute to best practices in testing and automation.
  • Develop and maintain test data sets for various testing scenarios.
  • Work closely with cross-functional teams to ensure seamless integration of automated testing within the CI/CD pipeline.
  • Provide insights and recommendations for improving testing processes and tools.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Proven experience as an Automation Tester, with a focus on data engineering and ETL testing.
  • Strong programming skills in Python; experience with testing frameworks (e.g., pytest, unittest).
  • Familiarity with ETL tools (e.g., Apache NiFi, Talend, Informatica) and data warehousing concepts.
  • Experience with SQL and database testing.
  • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git).
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration abilities.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).

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