Role: Data Engineer – Microsoft Fabric

Location: India (Bangalore, Hyderabad / Mumbai / Gurugram)

Position: Senior Associate

Required Experience: 3–6 years

Role Summary

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 up-to-date data platforms leveraging
Microsoft Fabric, enabling scalable analytics, AI-driven insights, and
enterprise-grade data solutions for global clients. This is an excellent
chance to work on next-generation data architectures, contribute to
AI-driven transformation programs, and grow into advanced data engineering and
platform leadership roles.

Key Responsibilities

• Design, build, and
maintain scalable data pipelines using Microsoft Fabric Data Factory
(Pipelines), Dataflows Gen2, Fabric Notebooks, and Lakehouse.

• Develop and manage
OneLake/Fabric Lakehouse architectures for structured and semi-structured
healthcare and enterprise data.

• Build and optimize batch
and API-based ingestion pipelines from multiple enterprise data sources,




databases, files, and application systems.

• Develop robust ETL/ELT
workflows using SQL, Python, and PySpark for data transformation and
enrichment.

• Implement data quality,
validation, reconciliation, completeness, consistency, and anomaly-detection
checks across source and target datasets.

• Develop data
standardization, deduplication, entity-resolution, record-linkage, and matching
workflows across heterogeneous data sources.

• Design analytics-ready
datasets and data models for data scientists, analysts, ML pipelines, and
downstream applications.

• Collaborate closely with
data scientists and ML engineers to prepare reliable feature-ready and
model-consumable datasets.

• Integrate Microsoft Fabric
with Azure data services such as Azure Data Lake Storage, Azure SQL, Synapse
components, and Power BI where required.

• Implement incremental
ingestion, change-data handling, error handling, ret

📌 Data Engineer – Microsoft Fabric (Bengaluru)
🏢 AuxoAI
📍 Bengaluru