Enterprise Architect
... implementation of the enterprise-wide data strategy, ensuring the strategy supports ... the skills required within the data architecture team and to assist ...
... implementation of the enterprise-wide data strategy, ensuring the strategy supports ... the skills required within the data architecture team and to assist ...
... and reliability of our data pipelines, data integrations, and analytics solutions. You will collaborate closely with data analysts, data modellers, data engineers, data scientists, to implement robust testing ... of end-to-end data and insights life cycle is ...
... the latest trends in stream processing, distributed data processing, and Apache Flink technologies to ...
... the latest trends in stream processing, distributed data processing, and Apache Flink technologies to ...
... knowledge of financial data structures, data objects, and data migration methodologies. Extensive experience in finance data migration. Experience with data analysis, governance and management. Strong ... a commitment to data accuracy and quality. If you ...
... . We are committed to leveraging data to drive business decisions, optimise ... team to deliver high-quality data solutions. Work closely with data analysts, data scientists, and other stakeholders to ...
... experience with Databricks and big data technologies such as Hadoop, Spark, or Kafka for large-scale data processing Advanced skills in programming languages ...
... experience with Databricks and big data technologies such as Hadoop, Spark, or Kafka for large-scale data processing Advanced skills in programming languages ...
... and delivering data governance and data catalog solutions using the Data Governance module of Microsoft Purview ... best practices for data access, data curation, data discovery, data health, and data understanding within Microsoft Purview. Demonstrated ...
... Lake on Databricks for reliable data storage and efficient data processing. Familiar with medallion architecture for data Lakehouse. Strong understanding of data architecture principles and best practices ...