Data Engineer
Skills
Azure Data FactoryDevopsAnalytical SkillsData GovernanceData OperationsData WarehousingDimensional Modeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of progressive experience in Data Warehouse and Data Mart environments with cloud-based solutions
- Advanced expertise with Azure Data Factory and Azure SQL Server
- Proven ability to deliver enterprise-grade Power BI semantic models including advanced DAX and Power Query transformations
- Demonstrated experience in legacy data migration including strategy definition mapping cleansing and execution
- Proficient in SQL and data modeling methodologies such as Kimball Inmon and Boyce-Codd
- Strong understanding of data governance security and compliance principles
- Excellent problem-solving debugging and analytical skills in large complex data ecosystems
- Proven ability to lead cross-functional teams and communicate effectively with technical and non-technical stakeholders
Nice to have
- Cross-functional collaboration
- Leadership mindset
- Scalability focus
- Innovation driven
- Detail oriented
Day to day
- Design, build, and maintain enterprise-scale data pipelines using Azure Data Factory and Azure SQL.
- Develop and optimize data warehouses, data marts, and complex transformation logic to support mission-critical services.
- Architect Power BI semantic models with DAX Power Query and dimensional modeling best practices while improving data architecture and scalability.