Senior Data Engineer
Skills
Azure Data LakeAzure DatabricksAzure DatafactoryPower BINotebooksTerraformInfrastructure-as-Code
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience as a Data Engineer or similar role with Azure cloud expertise
- 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 relevant to data engineering
- Excellent problem-solving and communication skills
- Knowledge of data governance and security best practices in the cloud
- Previous experience in a DevOps environment with CI/CD pipelines
Nice to have
- Motivated
- Passionate about data engineering
- Detail-oriented
- Collaborative
- Scalable mindset
Day to day
- Design, build, and maintain robust ETL pipelines using Azure services and Databricks.
- Optimize data workflows with notebooks to improve speed, reliability, and transformation efficiency.
- Collaborate with analysts and BI teams to create Power BI semantic models, reports, and scalable data solutions.