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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain automated test frameworks for ETL, Big Data, API, and database validations to ensure high-quality delivery.
Test and develop Integration layer changes ensuring user stories meet quality standards within an Agile environment.
Collaborate with cross-functional Agile teams including SEITs, DevOps, and Data Engineers for comprehensive test analysis and delivery.
Minimum Requirements
Minimum 3 years of experience with validation in Databricks and automation test suite development.
Proficiency in Python (preferred) and SQL, with experience using test frameworks such as BDD, Hybrid, PyTest, and Allure.
Hands-on experience with Database, ETL, Big Data, API validations, and CI/CD tools like Jenkins and GitHub Actions.
Experience working within Agile methodologies; familiarity with AWS infrastructure including Databricks, S3, DynamoDB, Delta Lake.
Ideal Candidate Profile
Experience working specifically in automated testing within Big Data environments such as Databricks and integration layers.
Comfortable operating in small Agile teams collaborating closely with engineers in SEIT, DevOps, and Data domains.
Ability to maintain and enhance automated test frameworks using modern tools and AWS/cloud technologies in a continuous integration environment.