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Gurgaon

    Azure Data Engineer - Gurugram, India - VIDPRO CONSULTANCY SERVICES

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    Description

    Primary Roles and Responsibilities:


    • Developing Modern Data Warehouse solutions using Databricks and Azure Stack
    • Ability to provide solutions that are forwardthinking in data engineering and analytics space
    • Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
    • Triage issues to find gaps in existing pipelines and fix the issues
    • Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
    • Help joiner team members to resolve issues and technical challenges.
    • Drive technical discussion with client architect and team members
    • Orchestrate the data pipelines in scheduler via Airflow Skills and
    Qualifications:


    • Must have a total 5 yrs. of IT experience experience in Data warehouse/ETL projects.
    • Deep understanding of Star and Snowflake dimensional modeling.
    • Strong knowledge of Data Management principles
    • Good understanding of Databricks Data & AI platform ans ADB
    • Should have handson experience in SQL, Python and Spark (PySpark)
    • Candidate must have experience in Azure stack
    • Desirable to have ETL with batch and streaming (Kinesis).
    • Experience in building ETL / data warehouse transformation processes
    • Experience working with structured and unstructured data including imaging & geospatial data.
    • Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
    • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
    • Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
    • Comfortable working in a dynamic, fastpaced, innovative environment with several ongoing concurrent projects
    • Should have experience working in Agile methodology
    • Strong verbal and written communication skills.
    • Strong analytical and problemsolving skills with a high attention to detail.
    Mandatory Skills: / PySpark / Spark with Azure/Databricks/SQL/Python/Azure Datafactory
    )


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