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Base pay range
Cloud Data Engineer: Data, Infrastructure, Databricks, Python, Insurance Data Engineer is required for a leading Specialist Insurance organisation. As part of the Data Operations team, you will support the design and development of critical data applications on Azure Cloud Platform. This is a Platform focused role, so a blend of Data & Infrastructure knowledge is key. You will be well versed in Azure technologies such as Databricks and Azure storage with experience in MDM and ETL tools. You may come from a Data background with exposure to infrastructure support or a Platform/Database support with increased capacity in Data Engineering. This is an ideal role for an Engineer with a varied skillset and keen to support a scalable Azure Data Platform. Responsibilities:
Provide design & development support to data applications such as Azure Data Factory, Databricks and Phinsys Troubleshoot and resolve issues related to ETL processes Collaborate with cross-functional teams to optimize data pipelines and improve system performance. Create and maintain appropriate technical documentation Requirements:
Proven experience as a Data Platform Engineer or similar role Strong understanding of Azure Cloud offerings such as ADF and Databricks Experience with Master Data Management and Data Quality and Governance Demonstrate experience supporting infrastructure - Infrastructure as code is highly desirable Coding ability in Python and Spark is required Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Software Development
#J-18808-Ljbffr
Cloud Data Engineer: Data, Infrastructure, Databricks, Python, Insurance Data Engineer is required for a leading Specialist Insurance organisation. As part of the Data Operations team, you will support the design and development of critical data applications on Azure Cloud Platform. This is a Platform focused role, so a blend of Data & Infrastructure knowledge is key. You will be well versed in Azure technologies such as Databricks and Azure storage with experience in MDM and ETL tools. You may come from a Data background with exposure to infrastructure support or a Platform/Database support with increased capacity in Data Engineering. This is an ideal role for an Engineer with a varied skillset and keen to support a scalable Azure Data Platform. Responsibilities:
Provide design & development support to data applications such as Azure Data Factory, Databricks and Phinsys Troubleshoot and resolve issues related to ETL processes Collaborate with cross-functional teams to optimize data pipelines and improve system performance. Create and maintain appropriate technical documentation Requirements:
Proven experience as a Data Platform Engineer or similar role Strong understanding of Azure Cloud offerings such as ADF and Databricks Experience with Master Data Management and Data Quality and Governance Demonstrate experience supporting infrastructure - Infrastructure as code is highly desirable Coding ability in Python and Spark is required Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Software Development
#J-18808-Ljbffr
