Senior Data QA Engineer

BraverIT; Polska; Ibrido; PLN 180.000 - 280.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote work

Multisport card

Healthcare

Descrizione del lavoro

BraverIT is seeking a Senior Data QA Engineer to ensure quality of data pipelines and reliability of data products. You will design tests, write tests, monitor data flows, and collaborate with analytics and engineering teams.

Applicants should have 5+ years in data engineering, strong Python and SQL skills, and experience with Snowflake and AWS S3. This is a fully remote role with international project exposure and clear career growth.

Competenze

• 5+ years of experience in data engineering or backend data systems.
• Proficiency in Python or a similar programming language.
• Advanced SQL skills with complex joins and window functions.
• Experience with automation testing frameworks.
• Familiarity with data warehousing concepts and star/snowflake schemas.

Mansioni

• Design and maintain data tests and quality checks across the full pipeline.
• Create and execute end-to-end testing strategies for data pipelines.
• Implement monitoring, logging, and alerting for data workflows.
• Define and track SLAs for data freshness, completeness, and accuracy.
• Build scorecards and dashboards to monitor data quality.
• Identify and resolve data quality, performance, and reliability issues.
• Collaborate with analytics, data science, and platform engineering for scalable solutions.
• Contribute to code reviews, engineering standards, and mentor junior team members.

Conoscenze

Python

SQL

Automation testing frameworks

GitHub best practices

Data security & governance

Data modeling (star/snowflake)

Strumenti

Snowflake

AWS S3

Descrizione del lavoro

We are looking for a Senior Data QA Engineer who will be responsible for testing data pipelines and ensuring their quality, reliability, and accuracy.

Your responsibilities

• Design and maintain data tests and quality checks across the full pipeline
• Create and execute end to end testing strategies for data pipelines
• Implement monitoring, logging, and alerting for data workflows
• Define and track SLAs for data freshness, completeness, and accuracy
• Build scorecards and dashboards to monitor data quality
• Identify and resolve issues related to data quality, performance, and reliability
• Collaborate with analytics, data science, and platform engineering teams on scalable solutions
• Contribute to code reviews, engineering standards, and support junior team members

Our requirements

• 5+ years of experience in data engineering or backend data systems
• Strong proficiency in Python or a similar programming language
• Strong SQL skills, including complex joins and window functions
• Experience building or implementing automation testing frameworks
• Experience working with Snowflake or a similar data platform
• Experience working with AWS S3 or other cloud object storage
• Understanding of data warehousing and data modeling, including star and snowflake schemas
• Good knowledge of GitHub best practices
• Understanding of data security, access control, and governance

What we offer

• Fully remote work
• Benefits including a multisport card and healthcare
• Opportunities to work on international projects
• Rapid career growth and promotion opportunities