Data Engineer
Core
Develop, build, and maintain data pipelines and analytics infrastructure to support operational efficiencies and informed business decisions.
Role type
Senior Data Engineer (Azure & Spark)
Builds
Reliable data pipelines, analytics platforms, and scalable database schemas.
Domain
Enterprise Data Engineering & Analytics
Deliverable
production ML models
Required skills
Azure Data Factory, Apache Spark (PySpark/SQL), Kubernetes, Power BI semantic modeling, database architecture, data governance, data transformation, ETL/ELT orchestration
Preferred skills
Microsoft Fabric, advanced analytics platforms, ML data preparation, root-cause investigation
Technologies
Azure Data Factory, Apache Spark, Kubernetes, Power BI, Microsoft Fabric
Responsibilities
Develop and maintain data architecture and infrastructure; Build, maintain, and monitor Azure Data Factory pipelines; Develop and troubleshoot Apache Spark workloads in Kubernetes; Design and optimize Power BI semantic models; Support advanced analytics platforms for ML workflows; Design scalable database schemas and optimize queries; Apply data governance standards for metadata and lineage.
Seniority
Senior, hands-on IC
