Responsibilities

• Participate in the feature design to ensure good quality is delivered.
• Validate the data and reports to ensure it works well and makes sense.
• Investigate issues across the data pipeline.
• Build and improve Data Quality Dashboards and Alerts.
• Dive in the domain area to validate not only against requirements but against domain logic.

Requirements

• 3+ years of experience as a Data Quality Engineer.
• Systems thinking to deal with and troubleshoot with the Data pipeline.
• Attentiveness to details and precise.
• Experience with SQL (Joins, Procedures, etc.).
• Experience with Excel (Pivots, Connections, VLOOKUP, etc.).
• Knowledge of the Data Quality Reports.
• Ability to understand the business behind the data.
• B2+ level of English.

Nice to have

• Experience with BI.MS Power BI.

We offer

• 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.