Remote careers for Senior Data Quality Engineer | EPAM Anywhere

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Senior Data Quality Engineer for a Business Services Company

Senior Data Quality Engineer for a Business Services Company 40 часов в неделю, 12+ месяцев

We are currently looking for a remote Senior Data Quality Engineer with 3+ 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.

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

                      • 3+ 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
                                                  Python.Core
                                                  SQL
                                                  Management

                                                  Бенефиты в поддерживаемых странах

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                                                  Для тебя

                                                    • ДМС для тебя и скидки на медицинские услуги для твоей семьи
                                                    • Бесплатные сессии с профессиональными психологами и коучами
                                                    • Бесплатные спортивные и оздоровительные онлайн-программы
                                                    • Стабильный заработок
                                                    • Оплачиваемый отпуск
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                                                  Для твоей комфортной работы

                                                  • 100% удаленная работа
                                                  • Бесплатный лицензионный софт
                                                  • Возможность работать на личном оборудовании (BYOD)
                                                  • Стабильная загрузка
                                                  • Возможности релокации
                                                  • Разные форматы трудоустройства
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                                                    Для твоего роста

                                                    • Бесплатные тренинги по hard и soft skills
                                                    • Доступ к LinkedIn Learning платформе
                                                    • Курсы иностранных языков
                                                    • Доступ к внутренним и внешним электронным библиотекам
                                                    • Программа поддержки в сертификации
                                                    • Персональный менеджер по карьерному развитию

                                                      40 часов в неделю

                                                      Нагрузка в неделю

                                                      12+ месяцев

                                                      Продолжительность проекта

                                                      Armenia, Belarus, Colombia, Italy, Mexico, Russia, Ukraine, Uzbekistan

                                                      Локации, доступные для позиции