Microsoft Fabric Developer / Data Engineer

EbizON

IndiaremotePosted 1 month ago

Skill Required

Data-EngineeringMicrosoft-Fabric-DeveloperAzure-Data-EngineerData-Pipeline-EngineerAnalytics-EngineerMicrosoft-Fabric-Data-EngineerMicrosoft-Fabric-EngineerMicrosoft-Fabric-SpecialistMicrosoft-Fabric-EngineeringMicrosoft-Fabric-DevelopmentData-EngineerData EngineerData Warehousingdata engineeringETLAzureEngineeringDatabricksdevelopingObservabilityPower BIdesigninganalyticssecuritybuildingSparkPythondesignDevOpsSQL ServerOpenAPICI/CDAPIsSQLGitandCIFulltime

Key highlights

3+ years of data engineering experience
Full‑Time role
Primary technology: Microsoft Fabric / Azure Data Platform
Hands‑on experience with Microsoft Fabric required
Experience with Fabric Data Factory, Pipelines, Dataflows Gen2
Built and deployed end‑to‑end Microsoft Fabric solutions

Role overview

We are looking for a hands‑on Microsoft Fabric Developer / Data Engineer with 3+ years of experience in data engineering and Azure‑based data solutions. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data solutions using Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, Python/PySpark and SQL. The ideal candidate should have practical experience building end‑to‑end data solutions, integrating multiple enterprise data sources, and supporting analytics and reporting workloads.

Responsibilities

Design, develop and maintain data solutions using Microsoft Fabric.
Build and manage Fabric Lakehouse, Data Warehouse and OneLake solutions.
Develop scalable ETL/ELT pipelines using Fabric Data Factory, Data Pipelines and Dataflows Gen2.
Develop data transformation and processing workflows using Python, PySpark, SQL and Fabric Notebooks.
Ingest and integrate data from databases, APIs, files, Azure services and other enterprise systems.
Implement Lakehouse/Medallion architecture including Bronze, Silver and Gold data layers.
Design and optimize data models for analytics, reporting and downstream applications.
Optimize SQL queries, Spark workloads and pipelines for performance and scalability.
Implement data validation, quality checks, monitoring, logging and error handling.
Work with development, analytics and business teams to translate requirements into scalable technical solutions.
Support deployment and CI/CD processes for Microsoft Fabric workloads.

Requirements

3+ years of Data Engineering / Azure Data Platform experience
Strong hands‑on experience with Microsoft Fabric
Fabric Data Factory, Pipelines and Dataflows Gen2
OneLake and Fabric Lakehouse
Fabric Data Warehouse
Fabric Notebooks
Strong SQL / T‑SQL
Python and PySpark
ETL/ELT and data pipeline development
Data warehousing and data modelling
Azure ecosystem such as Azure Data Factory, Azure SQL, ADLS and/or Azure Synapse
Experience integrating REST APIs and multiple enterprise data sources
Understanding of Delta Lake and Medallion Architecture
Git/Azure DevOps and CI/CD fundamentals

Nice to have

Power BI, DAX, Semantic Models and Direct Lake
Real‑time analytics or streaming experience
Azure OpenAI or other AI/ML integration experience
Experience supporting enterprise‑scale data platforms
Data governance, security and access‑control experience
Microsoft DP‑600 / Fabric Analytics Engineer or related Azure certification
We are looking for someone who has actually built and deployed Microsoft Fabric solutions, rather than having only certification or theoretical exposure. The candidate should be comfortable explaining the architecture, pipelines, transformations and Fabric components they personally implemented in previous projects.