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senior data quality engineer

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Data Quality Engineering, Data Quality, Azure DevOps, Big Data Data Management, Data Modeling

We are currently looking for a remote Senior Data Quality Engineer to join our team.

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
                      • Coach, mentor, and support Quality Engineers
                        requirements
                        • 3+ years of relevant Data experience (Big Data, Data Engineering, ETL, Data Modelling, and Data Pipelines)
                          • Hands-on automation (scripting + execution)
                            • Mention Senior as will need to be a self-starter with confidence to champion QE in some (healthy) challenging conversations
                              • Microsoft Azure DevOps tool
                                • Knowledge of DevOps operations and test integration into the DevOps process and tools with a focus on Agile
                                  • Experience in conducting TDM assessment
                                    • Ability to map business requirements to test data needs
                                      • Being comfortable with SAP would be an advantage
                                        • Good knowledge of Python
                                          • DevOps experience
                                            • GCP experience
                                              • Knowledge of SQL, test queries/scripts

                                                benefits for locations

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                                                For you

                                                • Paid time off
                                                • Paid sick leave days
                                                • Stable income
                                                • Meal and home office compensation

                                                For your comfortable work

                                                • 100% remote work 
                                                • Hybrid work opportunities
                                                • Free licensed software
                                                • Possibility to work on your own device (BYOD)
                                                • Stable workload
                                                • Relocation opportunities
                                                • Flexible engagement models

                                                For your growth

                                                • Free trainings for technical and soft skills
                                                • Free access to LinkedIn Learning platform
                                                • Free access to internal and external e-Libraries
                                                • Certification opportunities
                                                • Skill advisory service
                                                • Language courses
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