Azure Data Engineer
hace 5 días
Warren
Total open positions • Data Engineer with Azure + Databricks + PnC Insurance - 4 positions (hybrid, Warren, NJ), • Azure Data Engineer - Hybrid (NY City) - 1 position, • Azure Data Engineer - Remote (US / Canada) - 3 positions Role & Responsibilities Overview: • Build and maintain Azure/Microsoft Fabric data pipelines (batch, streaming, API) using Data Factory, Lakehouse, Warehouse, and Real‑Time Analytics., • Design scalable data models and ETL/ELT workflows supporting insurance datasets (policy, claims, billing, actuarial, customer)., • Implement Lakehouse‑based architectures enabling analytics, reporting, and ML workloads., • Optimize pipeline performance, reliability, cost, and storage across Azure and Fabric environments., • Apply data governance, lineage, metadata, and data quality rules in collaboration with governance teams., • Implement security and compliance controls (RBAC, sensitivity labels, encryption) aligned with NAIC and data privacy regulations., • Collaborate with cloud engineering, security, and business stakeholders to deliver robust, standards‑aligned solutions., • Support platform monitoring, troubleshoot issues proactively, and contribute to continuous improvement and Fabric feature adoption. Candidate Profile: • 6+ years of experience in data architecture, data engineering, or analytics platform design., • Strong hands on experience of at least 5 years with Azure services., • Good understanding of P&C insurance data domains (policy, claims, underwriting, actuarial, billing)., • Expertise in data modeling (dimensional, canonical, semantic models)., • Strong knowledge of data governance, metadata management, and data quality practices., • Proficiency with SQL, Python, and modern data engineering frameworks., • Excellent communication and stakeholder management skills., • Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse., • Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse)., • Certifications such as Azure Data Engineer, • Prior experience in P&C insurance data modernization programs