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Metro mid-senior role with niche PySpark/Hadoop skills but common automation title.
Technical skills are transferable across industries but expect some financial domain knowledge.
Explicit 6-8 years requirement and mandatory Python, Hadoop, Spark, Pandas expertise.
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Design and execute automated and manual test cases for data engineering and analytics applications using Python.
Develop and maintain Python-based automation frameworks; test data pipelines including Hadoop, Spark, PySpark, and ETL processes.
Validate large-scale data transformations, perform data quality checks, troubleshoot defects, and collaborate with cross-functional teams to resolve issues.
6-8 years of experience in QA/Software Testing focusing on automation and data processing.
Strong hands-on experience in Python test automation, Hadoop testing, Apache Spark/PySpark, and Pandas for data validation.
Proficient in SQL and ETL/Data Pipeline Testing, with solid understanding of functional, regression, integration, and system testing.
Work location: Hyderabad, Telangana, India. Employment Type: Full Time. Notice period: Not explicitly mentioned in the JD.
Experienced in testing large data processing workflows within a big data ecosystem involving Hadoop, Spark, and data validation frameworks.
Able to contribute to CI/CD processes and automation improvements in Agile/Scrum delivery environments.
Preferably familiar with related automation/testing tools like Selenium, PyTest, Robot Framework and cloud technologies such as AWS, Azure, or GCP.