Data Engineer

Location: Bengaluru

We are seeking a mid-level  Azure Data Fabric Engineer  to help us architect and implement modern data solutions using the  Microsoft Fabric  ecosystem. You will be responsible for streamlining data workflows, implementing One Lake architectures, and enabling seamless data integration and analytics across the enterprise.

Key Responsibilities
Fabric Architecture:  Design and maintain end-to-end data pipelines and Lake houses within the  Microsoft Fabric  ecosystem.
Unified Storage:  Implement and optimize  One Lake  structures to create a seamless, single source of truth for diverse data assets.
Data Engineering:  Develop scalable ETL/ELT workflows using  Synapse Data Engineering  and  Data Factory .
Performance Tuning:  Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing.

Collaboration:

Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics.

Required

Skills and Qualifications
Ecosystem Mastery:  3-5 years in Azure Data Engineering with focused experience in  Microsoft Fabric, Synapse Analytics, and One Lake .

Languages:

Advanced proficiency in  Python (PySpark)  and  Complex SQL .
Frameworks:  Hands-on experience with  Delta Lake  formats, Medallion Architecture, and Spark-based processing.
Orchestration:  Proven ability to build and monitor pipelines in  Data Factory  and manage CI/CD via  Azure Dev Ops .
Data Modeling:  Good understanding of Star/Snowflake schemas and semantic modeling.