*Urgent* Microsoft Fabric Data Engineer/7+ Yrs of experience/Immediate-30 days Preferred

Overview

About Senzcraft: Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https://www.senzcraft.com for more details

Our AI Operations SaaS platform – https://MagicOps.ai

Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

*About the Role *

You will lead the design and development of a scalable, cloud-native data platform on
Microsoft Azure, integrating data from enterprise systems like SAP BW, SAP HANA,
Labware, ELN, Salesforce, and more. The goal is to build a unified, governed, and real-time data ecosystem enabling cross functional analytics and AI-driven insights across Sales, R&I, HR, and Finance domains.

Location: Koregaon Park, Pune
Work Mode: Hybrid (2–3 Days WFO)
Notice Period: 0–15 Days (Immediate Joiners Preferred)
Experience: 7+Years

*Must-Have Skills *

• Microsoft Fabric (MS Fabric)
• Azure Functions
• Docker Containers
• Apache Kafka
• Python & SQL
• SAP BW & SAP HANA
• Labware & ELN
• Salesforce Integration
• Data Modeling (Dimensional & Relational)
• Event-Driven Architecture
• CI/CD & GitHub

Key Responsibilities

• Build automated, containerized data pipelines integrating 10+ enterprise systems
• Design scalable data models for analytics and AI/ML use cases
• Implement governance, lineage, and access controls
• Deliver real-time, performance-optimized data solutions
• Own end-to-end data lifecycle from ingestion to analytics readiness

*Ideal Candidate *

• 7+ years in Azure Data Engineering
• Strong expertise in MS Fabric, Kafka, Azure Functions & Docker
• Experience with SAP ecosystem integrations
• Strong ownership mindset with independent delivery capability