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    Data Engineer - Gurgaon/Gurugram, India - Huquo Consulting

    Huquo Consulting
    Huquo Consulting Gurgaon/Gurugram, India

    Found in: Talent IN 2A C2 - 5 days ago

    Default job background
    permanent Technology / Internet
    Description

    Role :
    Data Engineer


    Location :
    Gurgaon


    Designation :
    AM- AVP (as per interview performance & EXL fitment)

    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

    What we offer :

    • EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
    • You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and timemanagement skills key aspects for personal and professional growth
    • Analytics requires different skill sets at different levels within the organization. At Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
    • We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
    • Sky is the limit for our team members. The unique experiences gathered at Analytics sets the stage for further growth and development in our company and beyond.
    )
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