Back
Mid-level, popular QA title with metro location and moderate brand, attracts several qualified applicants.
Strong big-data automation and PySpark/Databricks focus makes cross-industry transferability limited.
Explicit 6-10 years and mandatory PySpark/Databricks/Azure automation skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain scalable automation testing frameworks and suites using Python, Pyspark, SQL, and cloud-based big data technologies.
Implement automated test scripts, perform manual and performance testing, and deploy application components via CI/CD pipelines.
Collaborate with cross-functional Agile teams and provide technical guidance including code reviews and software documentation.
6-10 years of software engineering experience.
Proficiency in Python and Pyspark with experience in cloud/big data automation testing using Azure, Databricks, SQL, Hive, and Airflow.
Experience with UI and service functional validations, API/microservice automation, and relational databases (preferably PostgreSQL).
Bachelor's degree in Computer Science, Computer Engineering or related field.
Experienced in building big data automation testing frameworks on cloud platforms, especially Microsoft Azure.
Comfortable working in Agile, cross-functional team environments and deploying via DevOps pipelines.
Familiarity with AI/ML solution validation and performance testing tools is advantageous but not mandatory.