FA

Azure Data Engineer

Fractal Analytics

5 months ago

7 - 10 years

Work From Office

Bengaluru, Karnataka, India

  • The role is responsible for innovating, building and maintaining technology services.
  • Good understanding of how to enable analytics using cloud technology and ML Ops
  • Expertise in Microsoft Azure is mandatory including components like Azure DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service etc.
  • Python/Pyspark

    Azure Databricks

    Azure Data Factory

    Azure Data Lake Storage

    Azure SQL

    cloud tech

    MlOPS

    Azure DevOps

    Big data technologies

    Software Development Life Cycle (SDLC)

    Job description & requirements

    Azure Architect/Azure Data Engineer


    Qualifications & Experience

    5-10 years of technology experience

    Expertise in Microsoft Azure is mandatory including components like Azure DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service etc.

    Object-oriented languages (e.g., Python, PySpark,) and frameworks

    Good knowledge of Python and Spark are required

    Good understanding of how to enable analytics using cloud technology and ML Ops

    Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus

    Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)


    Expertise in relational and dimensional modelling, including big data technologies

    Exposure across all the SDLC process, including testing and deployment


    Experience :

    7 - 10 years

    Job Domain/Function :

    Data Engineering

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location 1 :

    Bengaluru, Karnataka, India, Bengaluru, Karnataka, India

    Location 2 :

    Pune, Maharashtra, India, Maharashtra, India

    Location 3 :

    Mumbai, Maharashtra, India, Maharashtra, India

    Location 4 :

    Chennai, Tamil Nadu, India, Tamil Nadu, India

    Location 5 :

    Noida, Uttar Pradesh, India, Uttar Pradesh, India

    Location 6 :

    Gurgaon, Haryana, India, Haryana, India

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