Data Quality Engineer
December 3
Description
• Join a fully remote team as a Data Quality Engineer. • Work on data validation and automated solutions to maintain data quality standards. • Participate in a cross-validation project for automation of metrics across datasets.
Requirements
• 3+ years of experience as a Data Quality Engineer or in a similar position. • Strong understanding of data quality concepts and methodologies. • Expertise in automating data quality checks. • Proficiency in SQL, Python, Pytest and Pandas. • Experience with orchestration systems such as Dagster or Airflow (nice to have). • Familiarity with Data Quality frameworks like dbt tests, Great Expectations, or Soda (nice to have). • Knowledge of metadata management tools such as Open Metadata (nice to have). • Experience with UI test automation (nice to have).
Benefits
• 20 working days of vacation per year. • 3 days of sick leave. • Medical insurance becomes available after the probation period. • Equipment reimbursement for essential items such as laptops and monitors.
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