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Data Engineer (Hybrid) | AI + Microsoft Cloud Expertise

0 years

0 Lacs

tiruchirappalli tamil nadu india

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

data ai consulting manufacturing technology design flexibility azure analytics automation power governance security storage efficiency support reporting databricks ml learning etl api compliance

Work Mode

Remote

Job Type

Full Time

Job Description

INFOC is a forward-thinking Digital Transformation and Cloud Consulting company. We help organizations modernize operations, harness AI, and maximize the value of Microsoft Cloud solutions across industries including Retail, Manufacturing, Technology, and Energy.

Data Engineer


Key Responsibilities

  • Design, build, and maintain robust

    data pipelines

    across Microsoft Azure, Fabric, Synapse, and related ecosystems.
  • Implement

    AI-driven data solutions

    for predictive analytics, automation, and business insights.
  • Collaborate with solution architects, data scientists, and business stakeholders to deliver

    end-to-end data solutions

    .
  • Integrate data from multiple Microsoft sources (Dynamics 365, Power Platform, Microsoft 365, Azure Data Services).
  • Ensure data quality, governance, and security align with enterprise standards.
  • Optimize data storage, performance, and cost efficiency in the Microsoft Cloud.
  • Support analytics and reporting initiatives by preparing clean, reliable, and accessible datasets.


Qualifications

  • Proven experience as a

    Data Engineer

    or similar role, preferably within Microsoft ecosystem.
  • Strong hands-on skills with

    Azure Data Factory, Synapse Analytics, Databricks, Microsoft Fabric, and SQL

    .
  • Experience with

    AI/ML integration

    (Azure Machine Learning, Cognitive Services, or equivalent).
  • Proficiency in

    ETL/ELT processes, data modeling, and API integrations

    .
  • Familiarity with

    Dynamics 365, Power BI, and Microsoft 365 data sources

    is a strong plus.
  • Solid understanding of

    data governance, security, and compliance best practices

    .
  • Strong problem-solving skills and ability to work in cross-functional teams.


Location:

Employment Type:


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