Senior Data Engineer
Skills
Azure Data LakeAzure DatabricksPower BIAzure DatafactoryNotebooksIaCTerraform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience as a Data Engineer or in a similar role with Azure cloud services
- Experience with Azure Data Lake and Azure Databricks
- Proficiency in designing and managing ETL processes using notebooks
- Experience with Power BI semantic model creation and report development
- Familiarity with integrating various data sources within Azure environments
- Basic understanding of Azure networking concepts
- Excellent problem-solving and communication skills
Nice to have
- Hands-on
- Collaborative
- Analytical
- Detail-oriented
- Security-aware
Day to day
- Design, develop, and maintain scalable ETL pipelines using Azure services and Databricks.
- Optimize data movement and transformation with notebooks and modern cloud tooling.
- Collaborate closely with analysts and BI teams to build Power BI semantic models and reports.
- Integrate multiple data sources into Azure environments and support secure high-availability data architectures.