... to facilitate the migration of data from customers on-premise applications ... , technologies, and best practices in data engineering to continuously improve the ... with Azure Synapse or Azure Data Factory and Azure SQL Database. ...
... smooth functioning of the enterprise data system. Set architectural direction, build ... to ensure alignment of all data and information artefacts. How to ...
... years of demonstrated experience in data-centric roles, focusing on data engineering or analytics across various data sources to address business challenges ... complaints, risk management, and or data governance What we can offer ...
... years of demonstrated experience in data-centric roles, focusing on data engineering or analytics across various data sources to address business challengesIntermediate ...
... years of demonstrated experience in data-centric roles, focusing on data engineering or analytics across various data sources to address business challengesIntermediate ...
... Location About the role: The data scientist will be the subject ... and determine how the available data can be used to achieve ... new ideas and insights from data. Contribute to a team environment ...
... , Kimball, 3NF, etc. Expertise with data security rules, along with adept understanding of data classification, data integration and data ingestion guidelines. Experience in Data Lake, Data warehousing and Big Data processing. Exposure to IT Operations ...
... , Kimball, 3NF, etc. Expertise with data security rules, along with adept understanding of data classification, data integration and data ingestion guidelines. Experience in Data Lake, Data warehousing and Big Data processing. Exposure to IT Operations ...
... by the challenge of turning data into actionable insights and are ... of user experiences, determining what data is needed, and how to ... to tools outside the normal data engineering stack Working autonomously, owning ...
... by the challenge of turning data into actionable insights and are ... of user experiences, determining what data is needed, and how to ... to tools outside the normal data engineering stack * Working autonomously, owning ...