Solution Architect - Data & AI
... Glue, etc. Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles. Familiarity with programming scripting ...
... Glue, etc. Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles. Familiarity with programming scripting ...
... Glue, etc. Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles. Familiarity with programming scripting ...
... .g. delivery of high priority data analytics initiatives, uplifting data culture and data talent, implementation of data governance including data domains, data stewards, data quality and related methods, practices, ...
... (eg. delivery of high priority data analytics initiatives, uplifting the organisation’s data culture and data talent, implementation of data governance including data domains, data stewards, data quality and related methods, practices, ...
... with SQL Good understanding of data warehousing and ETL practices Experience producing data management documentation (data dictionaries, data mapping, data lineage, etc) Experience implementing data quality data governance initiatives Effective written and ...
... detect and address issues impacting data pipeline reliability and performance.Data Governance and Compliance:Enforce data governance policies and standards to ensure ...
... related tools to implement relevant data flows and data governance. Required skills and experience Data Engineer Demonstrated ability to lead a team of developers and data engineers in building effective data products. Demonstrated experience implementing ...
... roadmap (including current target state data architecture and platforms, data governance, advanced analytics, machine learning and ... action plan. Solid understanding of data governance principles and practices. Not essential ...
... roadmap. Champion best practices for data management and data governance. This includes data modelling; ETL and processing performance; data quality, observability, and discoverability; security and sensitive data handling; and codebase quality. What ...
... , and technology objectives. The Data Analyst contributes to the data platforms integrity by performing; data discovery, impact assessments, advocating and championing data literacy, data quality, data governance, the data strategy, and its benefits ...