Overview
ROLE PURPOSE
The purpose of the Data Engineer is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform.
KEY ACCOUNTABILITIES
- Analyse business requirements and support\create design for requirements
- Build and deploy new/changes to data mappings, sessions, and workflows in Azure Cloud Platform key focus area would be Azure Data Factory.
- Develop performant code
- Perform ETL routines performance tuning, troubleshooting, support, and capacity estimation.
- Conduct thorough testing of ETL code changes to ensure quality deliverables
- Provide day-to-day support and mentoring to end users who are interacting with the data
- Profile and understand large amounts of source data available, including structured and semi-structured/web activity data
- Analyse defects and provide fixes
- Provide release notes for deployments
- Support Release activities
- Problem solving attitude
- Keep up to date with new skills - Develop technology skills in other areas of Platform
Skills and Experience:
- Experienced in ETL tools, data projects
- Recent Azure experience Strong knowledge of Azure Data Factory and Databricks
- Python knowledge would be highly desirable
- Strong knowledge of SQL
- Strong Analytical skills
- Azure DevOps knowledge
- Experience Logic Apps would be desirable
- Experience with Azure Functions would be a plus.
- Day to day decisions around coding and unit testing.
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