Data Engineer

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 OneLake architectures, and enabling seamless data integration and analytics across the enterprise.

Key Responsibilities Fabric Architecture:

Design and maintain end-to-end data pipelines and Lakehouses within the

Microsoft Fabric

ecosystem. Unified Storage:

Implement and optimize

OneLake

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 OneLake . 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 DevOps . Data Modeling:

Good understanding of Star/Snowflake schemas and semantic modeling.