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  • 5 - 7 Years
  • Posted : above 1 month

Job Description:

    Company Overview

    RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CPG companies manage their supply chain and marketing initiatives to drive sales results. Using machine learning , streaming analytics and predictive models , we are the go - to cloud based; peta - scale SaaS data management platform in the retail industry. Join our team as a Senior Hadoop Administrator and join a global innovative technology leader with a strong presence in Pune , India.

    Job Summary

    As part of the Data Operations team the Hadoop Admin is responsible for maintaining all Hadoop infrastructure. This includes how to configure and manage Hadoop infrastructure on the Azure cloud , including auto - scaling , security , deployment , and cost management. This position will be working out of the World Trade Center in Pune.

    Responsibilities and Duties

    Help develop a plan to deploy new Hadoop infrastructure including HDFS , HBASE , Spark

    Help define and establish processes and tools for managing Hadoop infrastructure to ensure careful control of security and costs

    Debug and troubleshoot performance of Hadoop / Spark clusters

    Review and optimize Map Reduce jobs

    Manage HA / DR for the Hadoop ecosystem

    This position reports to the Manger of Data Operations.

    Qualifications and Skills

    Bachelor s degree in Computer Science or equivalent

    4 years of progressive experience building enterprise software applications

    In - depth knowledge of HDFS , YARN , Spark , Kafka , HDASE

    Experience with Hive , Impata , Sqoop , Flume and Solr is desirable.

    Must understand debugging and troubleshooting performance of Hadoop , Spark clusters.

    Should have experience optimizing YARN / Map Reduce jobs

    Ability to setup and manage Distributed Parallel Processing systems

    Ability to enhance Scalability , Reliability , Security and Performance of Hadoop Systems

    Knowledgeable in HA and DR options of setting of Hadoop ecosystem in Cloud

    Knowledgeable in Linux , Network and Storage infrastructure

    Experience in either of Python / Java Programming

    Experience scaling technologies used in SaaS

    Knowledge of Azure cloud is highly beneficial

    Knowledge of Kubernetes is helpful


    Retail Solutions , Inc. ( RSi ) develops and delivers a comprehensive suite of award - winning software - as - a - service (SaaS) solutions that turn Retailer downstream data , such as point - of - sale (POS) , supply chain , merchandiser feedback and category data , into actionable visibility into the store and onto the shelf for their suppliers.

    RSi , the largest and fastest - growing company in the Retail Execution Management field , has more experience with processing customer - specific retailer data than any other company. Retailers and consumer product goods (CPG) companies trust Retail Solutions to grow sales , reduce out - of - stocks , improve promotion execution and effectiveness , maximize retail operation productivity and foster collaborative relationships in the retail industry to improve product availability for the end - consumer.

    RSi serves more than 500 CPG Companies , including 23 of the top 25 global consumer goods companies , and processes data from more than 175 leading retailers in the Americas and Europe.

    Retail Solutions , Inc. is headquartered in Mountain View , CA and has offices in Providence , RI , Bentonville , AR , Minneapolis , MN , Chicago , IL , Brentford , UK , Munich , Germany , Pune , India , and Shanghai , China. RSi is an equal opportunity employer.

    To learn more about our Privacy Policy , visit our website at https: / / www.retailsolutions.com / privacy - policy / .

Profile Summary:

Employment Type : Full Time
Eligibility : B.Tech/B.E.,
Industry : Retail, Wholesale
Functional Area : IT Software - ERP / CRM
Role : Functional Outside Consultant
Deadline : 02nd Aug 2019

Key Skills:

Desired Candidate Profile:

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Company Profile:

Retail solution

Retail solution

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