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Senior Data Quality Engineer

Remote in Chile,
& 6 others

We are seeking a remote Senior Data Quality Engineer to join our team.

The ideal candidate must have advanced skills in Data Quality Engineering and be able to write complex scripts using T-SQL and Python (Pandas). They must have experience with various file formats, relational tables in SQL Server, and have a good understanding of QA and Testing best practices.

Responsibilities
  • Create test plans and test cases to do end-to-end testing of data pipelines
  • Appropriately identify data quality issues, and document them for bug fixes
  • Perform regression testing for bug fixes
  • Design test harness for automated testing
  • Work with Azure DevOps and various ETL Tools especially ADF and Databricks
Requirements
  • At least 3 years of experience in Data Quality Engineering
  • Expertise in Advanced Data Analysis using T-SQL, Python (familiarity with Pandas)
  • Proficient in Data Profiling and identifying data issues related to data types, formats, missing values, duplicate data, etc.
  • Experience working with various file formats more specifically CSV, Parquet, Any other Delimited, XML, JSON
  • Good understanding of QA and Testing best practices
  • B2+ English level
Nice to have
  • Good understanding of time series and historical data
  • Understanding of OLTP and OLAP systems
  • Familiarity with various encodings like ASCII and UNICODE
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn