Senior Data Engineer (Microsoft Fabric and Emerging Technologies)

5 - 10 years

6 - 16 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking an experienced Senior Data Engineer with minimum 5 years of hands-on experience to join our dynamic data team. The ideal candidate will have strong expertise in Microsoft Fabric, demonstrate readiness to adopt cutting-edge tools like SAP Data Sphere, and possess foundational AI knowledge to guide our data engineering initiatives.

Key Roles and Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Microsoft Fabric tools such as Azure Data Factory (ADF) and Power BI.
  • Work on large-scale data processing and analytics using PySpark.
  • Evaluate and implement new data engineering tools like SAP Data Sphere through training or self-learning.
  • Support business intelligence, analytics, and AI/ML initiatives by building robust data architectures.
  • Apply AI techniques to automate workflows and collaborate with data scientists on machine learning projects.
  • Mentor junior data engineers and lead data-related projects across departments.
  • Coordinate with business teams, vendors, and technology partners for smooth project delivery.
  • Create dashboards and reports using tools like Power BI or Tableau, ensuring data accuracy and accessibility.
  • Support self-service analytics across business units and maintain consistency in all visualizations.

Experience & Technical Skills

  • 5+ years of professional experience in data engineering with expertise in Microsoft Fabric components
  • Strong proficiency in PySpark for large-scale data processing and distributed computing (MANDATORY)

  • Extensive experience with Azure Data Factory (ADF) for orchestrating complex data workflows

    (MANDATORY)

  • Proficiency in SQL and Python for data processing and pipeline development
  • Strong understanding of cloud data platforms, preferably Azure ecosystem
  • Experience in

    data modelling

    ,

    data warehousing

    , and

    modern data architecture patterns

Interested candidates can share their updated profiles at "itcv@alembic.co.in"

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