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    Senior Data Engineer - Bengaluru, India - BigShyft

    BigShyft
    BigShyft Bengaluru, India

    1 week ago

    Default job background
    Description
    AboutCompany:We arehiring for a client that thrive on the dynamic energy of a startupenvironment while harnessing the power of cuttingedge technologiesto drive innovation in the digital landscape. As a forwardthinkingorganization we are dedicated to pushing the boundaries ofpossibility delivering impactful solutions that transformindustries and empower businesses to achieve their full potential.Join our team of passionate individuals who are committed toshaping the future of datadrivendecisionmaking.
    Responsibilities:
    • Manageall aspects of data extraction transfer and loading activities in afastpaced startup setting.
    • Develop robust datapipelines to ensure seamless data access acrossplatforms.
    • Execute ETL processes including dataingestion cleaning and curation into our data warehouse orplatform.
    • Contribute to data modeling and MLpipelines within the AI/MLecosystem.
    • Collaborate with DevOps and seniorArchitect teams to design scalable system and model architecturesfor realtime and batchservices.

    Requirements:
    • Minimum5 years of experience in data engineering or data science with afocus on data engineering and ETL jobs.
    • Deepunderstanding of data warehousing data modeling and data analysisconcepts.
    • Proficiency in building and managingpipelines and performing ETL using Redshift (2 years ofexperience).
    • Ability to troubleshoot andresolve performance issues onRedshift.
    • Familiarity with orchestration toolslike Airflow along with strong Python and SQL codingskills.
    • Experience with distributed systemslike Spark and AWS Data and MLTechnologies.
    • Handson experience with dataextraction techniques and related tools for near realtime and batchdataextraction.

    Note:Candidateswith experience in productbased companies arepreferred.

    data engineering,dataanalytics,etl,spark,aws,data extraction,data loading,datacleaning,data science,python,sql,distributedsystems,cdc,kafka,glue,athena,aws lambda,airflow,amazonredshift,orchestration,ml,pipelines

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