QA Automation Engineer - Data Engineering Area
Summary
A QA Automation Engineer builds and maintains automated tests for data engineering pipelines, validating complex data flows in a Snowflake/AWS data warehouse primarily with SQL, with Python, JavaScript/TypeScript and Playwright as pluses. Hybrid role (3 days/week in office) on a long-term B2B contract in Poland.
General info:
Model of work: hybrid (3x per week work from office Warsaw/ Gdansk/ Gdynia/ Lodz)
Type of contract: B2B contract, long-term cooperation
Rate: up to 140 net+ vat/ hour
Fluent English - must have
Summary:
A highly skilled QA Automation Engineer is sought to join a team focused on data engineering tasks. The ideal candidate will possess significant expertise in automation and data warehouse testing, particularly with the Snowflake platform. The role requires prompt results and the ability to adapt to ongoing data testing processes while ensuring accuracy and collaboration with development teams.
Main Responsibilities:
Integrate swiftly into existing data testing processes.
Validate complex data flows and ensure data accuracy.
Collaborate with development teams to meet project deadlines.
Create and support automation for data validation processes.
Leverage SQL for querying and testing large datasets.
Key Requirements:
Proven experience in automation and data warehouse testing, focusing on Snowflake and AWS.
Strong proficiency in SQL for querying and validating data.
Familiarity with Snowflake-specific features such as Time Travel and zero-copy cloning.
Ability to understand and integrate into existing data warehouse architectures.
Nice to Have:
Experience with Python.
Knowledge of Javascript/Typescript.
Familiarity with Playwright.