... remains at the forefront of data innovation. - Data Governance and Quality: Establish best practices for data quality and governance, ensuring data integrity across all stages of data processing. Required Skills: - Data Architecture Expertise: 6 years of ...
... to determine data quality and data integrity Rigorously test data infrastructure components to comply with ... an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an ...
... for an experienced Senior Data Analyst. The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and ... team of ground-breaking data scientists, data engineers, BI developers, UX designers ...
... with cross-functional teams including data engineers, data scientists, and business analysts to deliver integrated data solutions prototype and coordinate data visualizations Which skills should you ...
... for the enterprise data platform to ensure data accuracy and availability Collaborate with data scientists, data architects, and others ensure data needs are met Implement secure and auditable data processes to ensure data integrity Troubleshoot any ...
... with cross-functional teams including data engineers, data scientists, and business analysts to deliver integrated data solutions prototype and coordinate data visualizations Which skills should you ...
... , analyze, and understand the data requirements of our internal customers ... in implementing a modern data architecture as a data engineer, database developer, or software ... with ETL processes, and data integration harmonization techniques ( particularly SQL, ...
... cross-functional team to develop data pipelines to ingest, transform, distribute and expose data from the group’s Core Data Lake for integration, reporting, analytics, ... be passionate about building scalable data models and architecture for consumption ...
... several business departments to use data from various markets for numerous ... create transparency about the current data quality through DQ problem management ...
... architecture on a standardized data platform based on the data mesh approach; ensure that economies ... product teams in applying data architecture’s results to real-world ... of relevant experience as data architect, software architect, enterprise architect, ...