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Popular Data Engineer title and Pune metro increase competition, but specialized MS Fabric/SAP skills narrow the candidate pool.
Requires SAP BW/HANA and Labware/ELN integration plus MS Fabric expertise, limiting cross-industry portability.
Mandatory 7+ years plus specific MS Fabric, Azure, Kafka, Docker, and SAP integration skills create strict filtering.
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Lead design and development of a scalable, cloud-native Microsoft Azure data platform integrating 10+ enterprise systems (SAP BW, SAP HANA, Labware, ELN, Salesforce).
Own end-to-end data ingestion, transformation, and modeling lifecycle using Azure Functions, Docker, MS Fabric, and Kafka to enable cross-domain analytics and AI insights.
Implement data governance, security, and performance optimization to deliver trusted, real-time datasets for BI and AI/ML consumption.
7+ years of experience in Microsoft Fabric data engineering or related cloud-native data platform roles.
Strong technical skills in Microsoft Fabric, Azure Functions, Apache Kafka, Docker Containers, Python, and SQL.
Experience with multi-source data integration including SAP BW, SAP HANA, Labware, ELN, Salesforce.
Location requirement: Hybrid mode with 3 days/week onsite in Koregaon Park, Pune; timezone CET.
Demonstrated expertise in Azure Data Engineering with cloud-native architectures and automated, containerized pipelines.
In-depth knowledge of data modeling (dimensional and relational), ETL/ELT processes, and pipeline performance tuning.
Familiarity with SAP BW, SAP DataSphere, and SAP ERP data structures to optimize integration and delivery of end-to-end data solutions.