Data QA Engineer

emagine; Województwo pomorskie; Hybrid; PLN 159,000 - 227,000; Full time

Benefits offered by this job

Hybrid work model (3x in office)

Job summary

emagine is seeking a highly skilled QA Automation Engineer to join a data engineering-focused team. The role centers on automation and data warehouse testing, with emphasis on Snowflake and AWS, delivering prompt, accurate results while collaborating with development teams.

You will create and maintain automated data validation tests, leverage SQL for large datasets, and integrate into existing data testing processes. Familiarity with Time Travel and zero-copy cloning in Snowflake is a plus.

Qualifications

• Experience in automation and data warehouse testing, especially Snowflake on AWS.
• Strong SQL skills for querying and validating data.
• Familiarity with Snowflake features such as Time Travel and zero-copy cloning.
• Ability to integrate into existing data warehouse architecture.

Responsibilities

• Integrate into existing data testing workflows quickly.
• Validate complex data flows and ensure accuracy.
• Collaborate with development teams to meet deadlines.
• Create and maintain automated data validation tests.
• Use SQL to query and test large datasets.

Skills

Automation testing

Data warehouse testing

Snowflake

AWS

SQL

Playwright

Python

JavaScript/TypeScript

Tools

Playwright

Python

JavaScript/TypeScript

Job description

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.