Lead Data Quality Engineer remote jobs | EPAM Anywhere

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Lead Data Quality Engineer for a Business Services Company

Lead Data Quality Engineer for a Business Services Company 40 hrs/week, 12+ months

We are currently looking for a remote Lead Data Quality Engineer with 5+ years of experience in Data Quality Engineering and advanced Data Analysis skills using T-SQL, Python to join our team.

The customer is a provider of high-quality business services in such areas as IT, Procurement, HR, Product Lifecycle Services, Financial Reporting and Analytics, and Real Estate and Facility Services.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

Join EPAM Anywhere to quickly and easily find projects that match your knowledge and experience, while working with Forbes Global 2000 clients, building a successful IT career, and earning competitive rewards. The platform provides additional perks, including a flexible schedule, professional development opportunities, and access to a community of experts.

We accept CVs only in English.

Responsibilities

  • Design, lead, and manage a data implementation strategy
    • Manage and maintain data assets in alignment with data management processes
      • Ensure data governance and compliance through appropriate processes
        • Participate in mapping business data sources to appropriate repositories of data
          • Identify new critical data elements and metadata
            • Coordinate and ensure the implementation of data asset management standards and policies in close collaboration with the providers of the data
              • Accountable for data discrepancies and mitigation, data availability and consistency
                • Drive compliance risk mitigations for regional data privacy and security
                  • Participate in mapping business data needs to appropriate sources of data; provide guidance and coordinate/resolve data issues
                    • Collaborate with internal data governance teams and ensure the implementation of data governance and data asset management standards and policies

                      Requirements

                      • 5+ years of experience in Data Quality Engineering
                        • Advanced Data Analysis using T-SQL, Python (familiarity with Pandas); should be able to write complex scripts
                          • Expert at doing Data Profiling and documenting the results
                            • Expert at identifying common data issues related to data types, formats, missing values, duplicate data, etc.
                              • Concrete experience working with various file formats more specifically CSV, Parquet, Any other Delimited, XML, JSON
                                • Expert at working with relational tables in SQL Server Management Studio
                                  • Good understanding of time series and historical data. Good understanding
                                    • Good understanding of OLTP (Normalized tables in 3NF) and OLAP (Star Schema and Snowflake schema dimension and fact tables) systems
                                      • Familiarity with various encodings like ASCII and UNICODE and their implications on data quality
                                        • Good understanding of QA and Testing best practices
                                          • Be able to create test plans and test cases to do end-to-end testing of data pipelines, and appropriately identify data quality issues, and document them for bug fixes; once the bugs are fixed should be able to go back and do regression testing
                                            • Good with designing test harness for automated testing
                                              • Ideally good exposure to Azure DevOps
                                                • Good understanding of various ETL Tools especially ADF and Databricks

                                                  We offer

                                                  • Paid time off
                                                    • Sick leave with a medical certificate (up to 30 days of paid sick leave)
                                                      • Exceptional leave (marriage, child birth, close relative death)
                                                        • Maternity leave
                                                          • Healthcare program (incl. family members)
                                                            • Wellness programs (Well-Being Academy online activities)
                                                              • EPAM Referral Program
                                                                • Special gifts (welcome package; pass-probation gift; anniversary gifts (3/5/10))
                                                                  • Internal Learning Programs
                                                                    • Certification opportunities
                                                                      Python.Core
                                                                      SQL
                                                                      Management

                                                                      40 hrs/week

                                                                      Hours per week

                                                                      12+ months

                                                                      Project length

                                                                      Belarus, Colombia, Russia, Ukraine

                                                                      Locations eligible for the position