1 - 4 years

6 - 10 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Education:

Certification:

Job Summary:

  • We are looking for a highly motivated and technically proficient Data Engineer to join our data platform team. The ideal candidate will have 35 years of hands-on experience in building scalable data solutions using Microsoft Fabric and related technologies. This role involves designing and implementing data pipelines, integrating diverse data sources, and enabling advanced analytics across the enterprise.

Key Responsibilities:

  • Develop and maintain robust data pipelines using

    Azure Data Factory

    and

    Microsoft Fabric

    .
  • Build and optimize

    Dataflows

    ,

    Lakehouses

    , and

    Notebooks

    within the Fabric ecosystem.
  • Write efficient

    SQL

    queries and stored procedures for data transformation and analysis.
  • Design and publish

    Power BI

    dashboards and reports using

    DAX

    for business intelligence.
  • Integrate external data sources including

    Snowflake

    into Fabric-based solutions.
  • Utilize

    Fabric REST APIs

    for automation, orchestration, and advanced data operations.
  • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
  • Ensure data quality, governance, and security across all data assets.
  • Document technical solutions and maintain version control using Git or similar tools.

Required Skills & Qualifications:

  • 3-5 years of experience in data engineering or related roles.
  • Strong proficiency in:
  • Microsoft Fabric

  • SQL

  • Power BI

  • Snowflake

  • Python

  • Azure Data Factory Pipelines

  • DAX

  • Fabric REST APIs

  • Dataflows

  • Proven ability to work with large datasets and optimize performance.
  • Excellent problem-solving, communication, and collaboration skills.
  • Must hold a valid

    Microsoft Certified Data Engineer Associate

    or

    Fabric Certified Associate

    credential.

Preferred Qualifications:

  • Experience with CI/CD pipelines and DevOps practices for data engineering.
  • Knowledge of data modeling, data warehousing, and cloud architecture.
  • Exposure to enterprise data governance frameworks and compliance standards.

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