
Data Engineering Role with Microsoft Fabric
1 week ago
We are seeking a highly skilled Data Engineer to join our team and contribute to the development of innovative data solutions using Microsoft Fabric.
- Key Responsibilities:
- Design, implement, and optimize end-to-end data pipelines on Azure using Microsoft Fabric services.
- Develop and maintain large-scale data processing and transformation applications using PySpark and Python.
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions.
Requirements:
- Technical Skills:
- Hands-on experience with Microsoft Fabric, including Lakehouse, Data Factory, and Synapse.
- Strong expertise in PySpark and Python for large-scale data processing and transformation.
- Deep knowledge of Azure data services (ADLS Gen2, Azure Databricks, Synapse, ADF, Azure SQL, etc.).
Preferred Qualifications:
- 4-10 years of experience in data engineering with a focus on Microsoft Fabric.
- Experience in designing and implementing data pipelines on Azure.
- Strong problem-solving skills and attention to detail.
Benefits:
- Opportunity to work with a dynamic team on cutting-edge projects.
- Professional growth and development opportunities.
- A competitive compensation package.
How to Apply:
- Please submit your resume and a cover letter outlining your relevant experience and qualifications.
- We thank all applicants for their interest; however, only those selected for an interview will be contacted.
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