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Data Fabric Data Engineer

Talent21

 

Pune, Maharashtra, India

Posted On: 6 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Azure Fabric Data Engineer
Tenure: No Preference/Any
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Description

Experience

5 7 Years

Job Summary

We are seeking a highly skilled Data Fabric Data Engineer with strong expertise in Python and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data integration solutions using Microsoft Fabric and cloud based data platforms. The role requires close collaboration with business stakeholders, data architects, and analytics teams to deliver reliable, high quality data solutions.

Key Responsibilities

  • Design, develop, and maintain end to end data pipelines using Microsoft Fabric and related Azure data services.
  • Build scalable ETL/ELT processes for data ingestion, transformation, and processing.
  • Develop data engineering solutions using Python for automation, data transformation, and workflow orchestration.
  • Integrate structured and unstructured data from multiple sources into enterprise data platforms.
  • Optimize data processing performance, reliability, and scalability.
  • Implement data quality, governance, security, and monitoring frameworks.
  • Collaborate with data architects, business analysts, and reporting teams to deliver data driven solutions.
  • Troubleshoot and resolve data pipeline and performance issues.
  • Participate in code reviews and follow engineering best practices.

Mandatory Skills

  • Strong hands on experience in Python programming.
  • Experience with Microsoft Fabric (Data Factory, Data Engineering, Lakehouse, Data Warehouse).
  • Strong understanding of ETL/ELT concepts and data pipeline development.
  • Experience with SQL and performance tuning.
  • Knowledge of Azure Data Services (ADLS, Azure Data Factory, Synapse, Databricks, or related services).
  • Experience working with large scale data processing and analytics environments.
  • Understanding of data modeling, data governance, and data quality concepts.
  • Familiarity with CI/CD and DevOps practices for data engineering.

Preferred Skills

  • Experience with PySpark and Spark based data processing.
  • Knowledge of Power BI and analytics/reporting integration.
  • Experience with Git, Azure DevOps, and Agile methodologies.
  • Exposure to REST APIs and data integration frameworks

Education

Any Graduate

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