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WinWire

3 months ago

Microsoft Fabric -Data Engineer

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Company information

Company
WinWire
Location
India India
Posted
3 months ago
View all jobs at WinWire

Job description

About the Job Experience: 7-9 years Work Location: Bangalore/Hyderabad Designation: Module lead (Microsoft Fabric Data engineer) Role Description: We are looking for a Senior Data Engineer with strong Microsoft Fabric and Python skills to build and deliver production-grade data pipelines for a specialty medical stop loss insurance enterprise's claims modernization platform. You will own end-to-end pipeline development across assigned workstreams — ingestion, transformation, data quality, and Governance. This role requires expertise in designing, building, and maintaining large-scale data processing systems using Microsoft Fabric and Python. The ideal candidate should have experience with cloud-based data platforms such as Azure Data Factory, Azure Databricks, or AWS Glue. Additionally, the ability to work effectively in a fast-paced environment, collaborate with cross-functional teams, and communicate technical concepts to non-technical stakeholders is essential. Key Responsibilities: • Design, build, and maintain large-scale data processing systems using Microsoft Fabric and Python. • Develop and implement data pipelines for claims modernization platform. • Collaborate with cross-functional teams to identify business requirements and develop solutions. • Ensure data quality, integrity, and security across the entire pipeline. • Troubleshoot and resolve complex technical issues related to data processing and pipeline development. • Stay up-to-date with industry trends and emerging technologies in data engineering. • Participate in code reviews and contribute to open-source projects as needed. What We Offer: • Competitive salary and benefits package. • Opportunity to work on a cutting-edge claims modernization platform. • Collaborative and dynamic work environment. • Professional development opportunities, including training and mentorship programs. • Flexible working hours and remote work options.

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