Data Engineer – Microsoft Fabric

Zohorecruit; Bengaluru Urban; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Zohorecruit in Bangalore is seeking a Senior Data Engineer with Microsoft Fabric experience to design and build modern data platforms for global clients.

You will develop scalable data pipelines using Fabric Data Factory, Lakehouse, OneLake, and integrate with Azure Data Lake Storage, SQL, Synapse, and Power BI.

The role focuses on ETL/ELT, data quality, governance, and collaborating with data scientists to deliver reliable feature-ready datasets for analytics and AI projects.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, Data Engineering, or related field or equivalent practical experience.
• 3–6 years of hands-on data engineering with Microsoft Fabric experience.
• Strong SQL skills including complex queries, data transformation, optimization, and data modeling.
• Proficiency in Python or PySpark for data transformation and pipeline development.
• Experience designing and implementing ETL/ELT pipelines and integrating data from APIs, databases, files, and enterprise systems.
• Experience with data quality, validation, reconciliation, and error‑handling workflows.
• Familiarity with Azure Data Lake Storage, Azure SQL, Synapse Analytics, and DataOps practices.

Responsibilities

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components.
• Develop and manage OneLake/Fabric Lakehouse architectures for healthcare and enterprise data.
• Ingest data from multiple sources via batch and API-based pipelines.
• Implement ETL/ELT workflows with SQL, Python, and PySpark.
• Ensure data quality, validation, reconciliation, and anomaly detection.
• Develop data standardization, deduplication, and record linkage workflows.
• Create analytics-ready datasets and data models for data scientists and ML pipelines.
• Collaborate with data scientists to prepare reliable feature-ready datasets.
• Integrate Fabric with Azure data services like ADLS, SQL, Synapse, and Power BI.

Skills

SQL

Python

PySpark

ETL/ELT pipelines

Data modeling

Education

Bachelor's/Master's in CS/Engineering or related

Tools

Microsoft Fabric

Azure Data Lake Storage

Azure SQL

Synapse Analytics

Fabric Notebooks

Power BI

Job description

Bangalore South, India | Posted on 09/23/2026

Position: Senior Associate

Required Experience: 3–6 years

Role Summary

We’re looking for a skilled DataEngineer with Microsoft Fabric experience to join our growing data and AI team.In this role, you will design and build modern data platforms leveragingMicrosoft Fabric, enabling scalable analytics, AI-driven insights, andenterprise-grade data solutions for global clients. This is an excellentopportunity to work on next-generation data architectures, contribute toAI-driven transformation programs, and grow into advanced data engineering andplatform leadership roles.

Key Responsibilities

• Design, build, andmaintain scalable data pipelines using Microsoft Fabric Data Factory(Pipelines), Dataflows Gen2, Fabric Notebooks, and Lakehouse.
• Develop and manageOneLake/Fabric Lakehouse architectures for structured and semi-structuredhealthcare and enterprise data.
• Build and optimize batchand API-based ingestion pipelines from multiple enterprise data sources,databases, files, and application systems.
• Develop robust ETL/ELTworkflows using SQL, Python, and PySpark for data transformation andenrichment.
• Implement data quality,validation, reconciliation, completeness, consistency, and anomaly-detectionchecks across source and target datasets.
• Develop datastandardization, deduplication, entity-resolution, record-linkage, and matchingworkflows across heterogeneous data sources.
• Design analytics-readydatasets and data models for data scientists, analysts, ML pipelines, anddownstream applications.
• Collaborate closely withdata scientists and ML engineers to prepare reliable feature-ready andmodel-consumable datasets.
• Integrate Microsoft Fabricwith Azure data services such as Azure Data Lake Storage, Azure SQL, Synapsecomponents, and Power BI where required.
• Implement incrementalingestion, change-data handling, error handling, retry mechanisms, and pipelinerecovery strategies where applicable.
• Implement observabilityand monitoring using Azure Log Analytics, alerts, action groups, andpipeline-level monitoring.
• Support data lineage,metadata management, governance, security, and discoverability using FabricCatalog and/or Microsoft Purview.
• Optimize SQL queries,Spark transformations, storage strategies, and pipeline execution forlarge-scale datasets.
• Support CI/CD, Git-basedversion control, deployment automation, and DataOps practices for Fabric datasolutions.

Required Qualifications

• Bachelor’s/Master’s degreein Computer Science, Engineering, Data Engineering, or a related field, orequivalent practical experience.
• 3–6 years of hands‑on dataengineering experience, including practical Microsoft Fabric experience.
• Strong hands‑on experiencewith Microsoft Fabric Lakehouse, OneLake, Data Factory/Pipelines, DataflowsGen2, and Fabric Notebooks.
• Strong SQL skills,including complex queries, data transformation, optimization, and datamodeling.
• Strong Python and/orPySpark experience for data transformation and pipeline development.
• Experience designing andimplementing ETL/ELT pipelines and integrating data from APIs, databases,files, and enterprise systems.
• Experience implementingdata quality, validation, reconciliation, and error‑handling workflows.
• Experience with datamatching, entity resolution, deduplication, record linkage, or similar dataintegration workflows.
• Working knowledge of AzureData Lake Storage, Azure SQL, and/or Synapse Analytics.
• Understanding of datawarehousing concepts, dimensional modeling, and analytics‑ready data design.
• Familiarity with Git,CI/CD, deployment automation, and DataOps practices.
• Understanding of datagovernance, security, lineage, metadata, and performance optimization.

Preferred Qualifications

• Experience working withhealthcare/provider data.
• Experience integratingPower BI with enterprise data platforms.
• Exposure to MicrosoftPurview or Fabric Catalog.
• Experience withincremental/CDC ingestion and event-driven or near‑real‑time data pipelines.
• Exposure to Eventstream,Azure Event Hubs, or other streaming ingestion frameworks.