MICROSOFT FABRIC ROLE

Job Description – Azure Data Engineer (Microsoft Fabric)

Position: Azure Data Engineer
Experience: 7–12 Years
Location: India
Notice Period: Immediate Joiners preferred; Maximum 30 Days

Role Overview

We are looking for an experienced Azure Data Engineer with strong hands-on experience in Microsoft Fabric to build and operate scalable data and integration platforms. The role involves data ingestion, transformation, business logic implementation, data quality, and delivering curated datasets for analytics and downstream applications.

Key Responsibilities

• Design and implement data solutions using Microsoft Fabric and OneLake .
• Develop and optimize scalable data pipelines using Fabric Data Factory/Pipelines, Azure Data Factory (ADF), Synapse Pipelines, PySpark, Python, and SQL .
• Build API-driven and scheduled workflows for data ingestion and downstream processing.
• Integrate data from cloud, on-premise databases, third-party systems, files, REST/SOAP APIs .
• Implement API authentication, pagination, throttling, retries, and error handling.
• Develop curated and consumption-ready data layers and models.
• Write and optimize complex SQL queries, stored procedures, views, and datasets .
• Perform performance tuning across Spark, ADF Data Flows, and SQL workloads .
• Implement business rules, validations, exception handling, audit logging, and data consistency checks.
• Build automated data quality, validation, reconciliation, and monitoring frameworks.
• Implement secure access using Azure AD, Managed Identity, RBAC, and least-privilege access .
• Support CI/CD and deployment automation using Azure DevOps and Git.
• Monitor pipelines and jobs, troubleshoot failures, perform RCA, and improve platform reliability.
• Collaborate with architects, DevOps engineers, analysts, and data scientists in an Agile/Scrum environment.

Mandatory Skills

• Microsoft Fabric – Workspaces, OneLake, Fabric Pipelines/Data Factory
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Databricks
• PySpark
• Python
• SQL / T-SQL
• ADLS Gen2 / Azure Blob Storage
• Azure DevOps & Git
• Data ingestion and integration
• REST/SOAP APIs
• Data transformation & data modeling
• Performance tuning
• Data quality & validation

Good to Have

• Terraform
• Microsoft Purview / Azure Purview
• Azure Log Analytics
• Spark UI
• App Service
• Experience with Copilot / Claude / AI tools

Candidate Profile

• 7–12 years of overall Data Engineering experience.
• Strong hands-on experience with Azure Data Engineering and Microsoft Fabric .
• Proven experience developing production-grade data pipelines and integration solutions.
• Strong experience in PySpark, Python, and SQL .
• Experience working with both structured and unstructured data.
• Strong troubleshooting, performance tuning, and data quality experience.
• Notice Period: Maximum 30 days; Immediate Joiners preferred.

Priority: Candidates who have hands-on experience across the above skill stack and can join immediately/within 30 days.