About the project

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
  • Flexible working time

 

Apply now