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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.

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
                                                  Python.CoreSQL
                                                  Management

                                                  Benefits in eligible locations

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                                                  For you

                                                  • Prepaid Medicine with Colsanitas for you and your legal dependents 
                                                  • MetLife Life Insurance for you 
                                                  • Thousands of projects for top brands
                                                  • 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
                                                  • Support from a personal Skill Advisor
                                                  • Language courses
                                                  • Free access to internal and external e-Libraries
                                                  • Access to internal communities and competency centers
                                                  • Certification opportunities

                                                  40 hrs/week

                                                  Hours per week

                                                  12+ months

                                                  Project length

                                                  Brazil, Colombia, Mexico

                                                  Locations eligible for the position