6 of 6 Remote/Hybrid ETL Jobs in Cambridgeshire

submissions, NHS performance reporting or large-scale data quality improvement Experience of supporting Epic upgrades, regression testing or data model change assessment Experience of ETL processes to move data between databases Knowledge Expert understanding of the role of reporting and analytics in supporting clinical care, operational management, performance monitoring and ...

Software FME Form and FME Flow (certifications are highly desirable) including: Support pre-sales activities, workshops and customer demonstrations where required. Data migration and ETL workflows Data validation, cleansing and transformation Workflow automation and integration design Performance optimisation and troubleshooting Additional desirable skills and experience includes: 1Spatial 1Integrate/1DataGateway ...

would be effective, although practical experience is equally valuable. “Nice to Have” Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow‐orchestration technologies. Machine‐learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience ...

would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. Experience with enterprise platforms such as Salesforce, SAP, ServiceNow or Celonis. Experience ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

evaluate and deploy data and analytics solutions. Analyse and evaluate data from a variety of internal and external data sources, design, test and implement ETL processes. Build and maintain data pipelines, orchestrate and schedule ETL from a variety of data sources to a central data repository. Transform data, monitor and ...