Location: Mumbai / Bangalore /
Hyderabad / Gurgaon

Level: Experienced
Associate/ Senior Associate

Required
Experience: 3 – 8
years

We’re looking for a skilled Data Engineer with Microsoft
Fabric experience to join our growing data and AI team. In this role, you will
design and build modern data platforms leveraging Microsoft Fabric, enabling
scalable analytics, AI-driven insights, and enterprise-grade data solutions for
global clients.

This is an excellent prospect to work on next-generation
data architectures, contribute to AI-driven transformation programs, and grow
into advanced data engineering and platform leadership roles.

Responsibilities
- Design, build, and maintain scalable data
pipelines using Microsoft Fabric components such as Data Factory (Pipelines),
Dataflows Gen2, and Fabric Notebooks.
- Develop and manage Lakehouse architectures
leveraging OneLake and Fabric Lakehouse for structured and semi-structured
data.
- Build and optimize batch and real-time data
ingestion pipelines from multiple enterprise data sources including APIs,
streaming platforms,



and enterprise systems.
- Implement ETL/ELT workflows ensuring data
quality, reliability, and performance optimization.
- Collaborate with data scientists, analysts, and
business stakeholders to deliver analytics-ready datasets.
- Integrate Microsoft Fabric with Azure ecosystem
tools such as Azure Data Lake, Power BI, and Synapse components.
- Implement observability and monitoring using
Azure Log Analytics, alerts, and action groups to ensure system reliability.
- Work with governance and metadata management
tools (e.g., Fabric Catalog, Purview) to ensure data discover-ability, lineage,
and compliance.
- Optimize query performance and storage
strategies for large-scale datasets.
- Support deployment automation using CI/CD
pipelines and DataOps practices.
- Stay updated with evolving Microsoft Fabric
capabilities and modern data engineering trends.

Requirements
Qualifications
- Bachelor’s/Master’s

📌 Data Engineer- Microsoft Fabrics (Bengaluru)
🏢 AuxoAI Engineering
📍 Bengaluru