... Information Lifecycle Management (ILM), Data Ingestion, Data Modelling, Lineage, SQL databases, Master Data Management (MDM), Data Quality Management (DQM), Data Architecture, Data Security, Data Privacy, IT security and Data Retention rules. Significant ...
... (ETL) processes Ensure data quality, data governance, and data security throughout the integration lifecycle Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements and optimize data integration solutions ...
... . Mentors and coaches less experienced engineers in data analysis best practices. Serves as ...
... . Mentors and coaches less experienced engineers in data analysis best practices. Serves as ...
... of experience preferred in data modelling, data integration, and engineering for Reporting ... , dashboards, reports and data visualisations 8 years of experience ... of experience preferred in data modelling, data integration, and engineering for Reporting ...
... of experience preferred in data modelling, data integration, and engineering for Reporting ... , dashboards, reports and data visualisations 8 years of experience ... of experience preferred in data modelling, data integration, and engineering for Reporting ...
... experience in the field of data, data technology, data engineering and data operations Proven experience in team ... organisation, with the use of data as an explicit pillar of ... . Delivery & Customer Value First - Treat data as an asset to create ...
... (SFIA Level: 3 to 7) Data Engineer (13 Positions) Analytics INAN (SFIA Level: 3 to 7) Data Scientist (4 Positions) Analytics INAN (SFIA Level: 3 to 7) Senior Data Cloud Engineer (3 Positions) Analytics INAN (SFIA ...
... reports to the Senior Manager, Data Engineering and has been categorized ... coding standards, best practices and data governanceLocation and Travel: At Balsam ...
... (ETL) processes Ensure data quality, data governance, and data security throughout the integration lifecycle Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements and optimize data integration solutions ...