Senior Data Quality Engineer

Remote in Chile,

Location-specific conditions & benefits*

Chile

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