We are looking for a Microsoft Fabric Data Engineer (Band B3) with strong data engineering and Java Spark development skills, capable of building and operating Fabric-native data pipelines.
Key Responsibilities
Develop and manage data ingestion and transformation pipelines using:
- Microsoft Fabric Data Engineering
- Data Factory (Fabric-native) Lakehouse
- Implement Spark jobs for batch and streaming workloads in Fabric.
- Integrate Fabric workloads with Kafka (consume/produce messages).
- Expose and consume data using Fabric REST API endpoints where required.
- Optimize Spark jobs for performance, scalability, and cost.
- Work closely with architects and DevOps teams to support CI/CD and environment promotions.
- Support data validation,
reconciliation, and operational monitoring.
Required Skills & Experience
- 7+ years of experience in data engineering roles.
Hands-on experience with:
- Microsoft Fabric (Lakehouse, Data Engineering, Data Factory)
- Apache Spark with Java
- Basic to intermediate experience with Kafka (topics, producers, consumers).
- Understanding of REST APIs and integration patterns.
- Solid SQL and data modeling fundamentals.
Good to Have
Exposure to HDInsight Spark/Kafka environments.
Experience working in enterprise migration projects.
📌 Microsoft Fabric Data Engineer (Noida)
🏢 Topcoder
📍 Noida
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