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Gurgaon

    Lead Assistant Manager/Manager/Senior Manager - Gurugram, India - HuQuo

    HuQuo
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    Description

    Role :
    Data Engineer


    Location :
    Gurgaon


    Designation :
    AM- AVP

    Work Timings : 1pm- 10pm


    Role Overview :
    We are looking for a go getter person who can define :

    • Analytic strategies to meet the demands of business requirements
    Technical requirements of the analytic solutions

    • Data requirements of the analytic solution processes
    • The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data engineering
    • Engages in technical problem solving across multiple technologies; often needs to develop new solutions
    • A typical work day will involve working with stakeholders in individual contributor.
    • A suitable candidate should have 58 years of experience in a similar role and should possess a go getter attitude. He/ She should be able to deal with ambiguity.
    • Experience in insurance preferred but not mandatory.

    Key Responsibilities & Skillsets :

    Common Skillsets :

    • 5+ years of experience in analytics, Oracle, ETL, Python and associated data engineering jobs.
    • Must have experience with managing and transforming big data sets using pyspark, sparkscala
    • Experience with AWS services
    • Glue, Lambda, EMR, Redshift, RDS
    • Excellent communication & presentation skills
    • Experience in managing Python codes and collaborating with customer on model evolution
    • Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).
    • Superior analytical and problem solving skills
    • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
    • Good communication skill for client interaction

    Data Management Skillsets :

    • Ability to understand data models and identify ETL optimization opportunities.
    • Exposure to ETL tools is preferred
    • Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
    • Strong ability to translate functional specifications / requirements to technical requirements

    Candidate Profile :

    • Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
    • Strong and indepth understanding of DE Fundamentals
    • Data analysis experience
    • Superior analytical and problem solving skills
    • Outstanding written and verbal communication skills
    • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
    )


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