Microsoft Fabric Developer / Data Engineer

Posted 2 Days Ago
Hiring Remotely in India
Remote
Mid level
eCommerce • Information Technology • Consulting
The Role
Design, develop, and maintain scalable Microsoft Fabric and Azure data solutions. Build Lakehouse, Data Warehouse, OneLake, ETL/ELT pipelines, data transformations, and integrations using Python, PySpark, SQL, and Fabric tools. Implement medallion architecture, optimize data models and workloads, establish data quality monitoring, and support CI/CD deployments. Collaborate with analytics and business teams to deliver enterprise-scale data platforms.
Summary Generated by Built In
Microsoft Fabric Developer / Data Engineer

Experience: 3+ Years
Role Type: Full-Time
Primary Technology: Microsoft Fabric / Azure Data Platform

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.

Key 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.
Required Technical Skills
  • 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
Good 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
Preferred Candidate

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.

Skills Required

  • 3+ years of data engineering or Azure Data Platform experience
  • Hands-on experience with Microsoft Fabric
  • Experience with Fabric Data Factory, Pipelines, and Dataflows Gen2
  • Experience with OneLake and Fabric Lakehouse
  • Experience with Fabric Data Warehouse
  • Experience with Fabric Notebooks
  • Strong SQL and T-SQL skills
  • Python and PySpark experience
  • ETL/ELT and data pipeline development experience
  • Data warehousing and data modeling experience
  • Experience with 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
  • Power BI, DAX, Semantic Models, and Direct Lake experience
  • 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
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The Company
HQ: Noida, UP
345 Employees
Year Founded: 2007

What We Do

Ebizon is the leading e-commerce and digital activation agency for brands and retailers globally. We have assisted over a dozen billion dollar companies with consulting, technology, operations, and digital marketing capabilities in managing their unique brand online. We work with global online retailers, publishers, CSR groups, non-profits, and government institutions. * Headquartered in New Delhi, Ebizon's growing client list includes Intel, Tesco, DSM, Wieden+Kennedy, Future Group, DDB Mudra, Rediffusion Y&R, VSNL, Tata Motors, Jagran Prakashan Group, DSM and others. * We take pride in serving our Fortune 500 customers as well as product start-ups in the Education & Non-Profit verticals. * Ebizon is also the premier provider of Enterprise class Drupal Scaling Solutions. Ebizon is founded by ex-IITians whose management & advisory team has the experience of working at Internet companies like Yahoo & TribalFusion. Ebizon management / advisory have educational degrees from world-class institutions like IIT, Stanford and Haas, School of Business, Berkley

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