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Data Engineer

TalentBridge
Remote - India
ContractOn-site6+ yrs
4ds ago0 view0 clicked apply
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Only apply if you can start ASAP - Start Date September 21

Only apply if you are comfortable with a Contract to Hire role (6-month contract; after that it will convert to Full-Time Permanent)


Data Engineer – Microsoft Fabric


About the Role

We are looking for a hands-on Data Engineer with strong Microsoft Fabric experience to build and optimize scalable data solutions supporting analytics and business operations.

The ideal candidate has strong experience with Microsoft Fabric, Python, PySpark, SQL, and Azure Data Factory, and can clearly explain the projects they have personally designed and delivered, including the business problem, technical approach, challenges, and outcomes.


Key Responsibilities

  • Design and build scalable data pipelines using Microsoft Fabric, Fabric Data Pipelines, Data Flows Gen2, and Notebooks.
  • Develop ETL/ELT solutions using Python, PySpark, SQL, and Azure Data Factory.
  • Build and manage Fabric Lakehouse, OneLake, Delta Lake, and Fabric Warehouse solutions.
  • Ingest data from databases, files, third-party systems, and REST APIs.
  • Develop data transformations, cleansing, validation, and quality checks.
  • Design dimensional, semantic, and analytical data models.
  • Optimize pipelines, Spark workloads, and SQL queries for performance and scalability.
  • Support Power BI, DAX, and semantic models for analytics and reporting.
  • Implement data governance, security, monitoring, and production support.
  • Document solutions and collaborate with technical and business stakeholders.


Required Qualifications

  • Strong hands-on Microsoft Fabric experience in production environments.
  • Experience with Fabric Data Pipelines, Data Flows Gen2, and Fabric Notebooks.
  • Strong Python, PySpark, and SQL skills.
  • Hands-on experience with Azure Data Factory.
  • Experience with Fabric Lakehouse, OneLake, Delta Lake, and/or Fabric Warehouse.
  • Strong understanding of data architecture, ETL/ELT, data modeling, and data quality.
  • Ability to clearly explain personal contributions, technical decisions, challenges, and business impact of previous projects.
  • Strong communication and problem-solving skills.
  • Preferred: Power BI/DAX, SSAS Tabular, MDM, REST APIs, and data governance
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