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Mid-level, metro location and generalist senior title balanced by niche Databricks/data QA skills.
Role requires specialized data/Databricks/Big Data QA skills, limiting cross-industry transferability.
Explicit Databricks experience, mandatory automation frameworks, and specific tech stack create high filter strictness.
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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 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.
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.