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senior data quality engineer for a business services company

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Sorry the job is no longer available.

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
                                                  • Proficient English (written and spoken) B2

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                                                    benefits for locations

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                                                    For you
                                                    • Paid time off
                                                    • Paid sick leave days
                                                    • Medical insurance
                                                    • Stable income
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                                                    For your comfortable work
                                                    • 100% remote work forever
                                                    • Free licensed software
                                                    • Possibility to work on your own device (BYOD)
                                                    • Stable workload
                                                    • Relocation opportunities
                                                    • Flexible engagement models
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                                                    For your growth
                                                    • Free trainings for technical and soft skills
                                                    • Free access to LinkedIn Learning platform
                                                    • Language courses
                                                    • Free access to internal and external e-Libraries
                                                    • Certification opportunities
                                                    • Skill advisory service
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