Empiric is seeking a Senior Data Engineer for a 6-month remote contract engagement to design and deliver modern, scalable data solutions across their cloud analytics platform. This role involves working with Microsoft Fabric and Azure technologies to support enterprise reporting and advanced analytics, collaborating with various stakeholders to build data pipelines and optimize data models.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and transformation processes
- Build and manage Lakehouse and Data Warehouse solutions within Microsoft Fabric
- Develop semantic models and support reporting and dashboard development
- Optimize SQL queries, Spark workloads, and data models for performance
- Collaborate with stakeholders to translate business requirements into technical solutions
- Implement data governance, quality controls, and security best practices
- Support CI/CD and DevOps processes within cloud environments
- Document data architecture, standards, and processes
Requirements:
- 4+ years of experience in data engineering, analytics engineering, or BI development
- Strong SQL skills and experience with Python, Spark, or PySpark
- Experience working with Azure-based data platforms
- Hands-on experience or exposure to Microsoft Fabric workloads
- Strong understanding of dimensional modeling and data warehousing concepts
- Excellent communication and stakeholder engagement skills