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Global brand, metro location, mid-level role, and broad cloud/big-data automation requirements increase applicant competition.
Specialized ETL and PySpark testing in cloud/Databricks makes backgrounds less transferable across industries.
Explicit 6-10 years plus mandatory PySpark/Python, Azure and SQL skills enforce strict shortlisting.
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Develop and maintain scalable automation testing frameworks and test suites leveraging Python, Pyspark, SQL and cloud technologies, focusing on big data and cloud environments.
Design, implement, and execute automated and manual test scripts including UI, service validations, and performance tests using various tools and technologies in a CI/CD pipeline environment on Microsoft Azure.
Provide technical guidance, collaborate with cross-functional Agile teams, and support continuous integration and deployment for data engineering applications including Gen AI automation solutions.
6-10 years of applicable software engineering experience.
Hands-on experience in Python and Pyspark for automation framework development, with strong SQL and relational database knowledge (preferably PostgreSQL).
Experience with cloud technologies, specifically Microsoft Azure, and familiarity with CI/CD tools like Jenkins, GIT Hub, Kubernetes, Docker.
Bachelor's degree in Computer Science, Computer Engineering, or related field.
Experienced in Cloud/Big Data automation testing with proficiency in creating scalable test frameworks using Python/Pyspark in Microsoft Azure environment.
Skilled in end-to-end test automation including API microservices, UI and service functional validations, and working within Agile teams supporting DevOps pipelines.
Comfortable providing technical mentorship and working with complex data platforms involving Databricks, Airflow, and performance testing tools.