3 Data Integration Jobs in South Yorkshire

Azure Data Engineer Greater Sheffield (Hybrid) Up to £60,000 DOE Are you an experienced Data Engineer looking for your next move? Does establishing a new Data Warehouse capability, promoting a data-driven culture, and ensuring high levels of data quality excite you? About the … Role This is a great opportunity to join an international healthcare manufacturer on a migration journey to an Azure based data platform. Within the role, you will play an integral part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in … designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with internal stakeholders About You 3+ years of experience within Data Engineering Ability more »

The successful candidate will work closely with the BI Manager to to deliver and maintain end-to-end business intelligence solutions for Keepmoat., from data ingestion to analysis and visualisation through reports and dashboards that drive insights and improve decision-making across the organisation. Duties will include working with … the hands-on development of metrics, reports, and dashboards. Responsibilities will also include the maintenance and optimisation of the Power BI service and championing data quality throughout the business. The ideal candidate will have 2-3+ years of proven professional experience in Business Intelligence/Analytics (Power BI … . They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data integration tools (preferably Informatica). Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the housebuilding industry, as well more »

using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Skills: Spark Architecture – component understanding around Spark Data Integration (PySpark, scripting, variable setting etc.), Spark SQL, Spark Explain plans. Spark SME – Be able to analyse Spark code failures through Spark Plans … correcting recommendations. Spark SME – Be able to review PySpark and Spark SQL jobs and make performance improvement recommendations. Spark – SME Be able to understand Data Frames/Resilient Distributed Data Sets and understand any memory related problems and make corrective recommendations. Monitoring – Be able to monitor Spark jobs more »