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    Data Engineer - gurugram, India - TransOrg Analytics

    TransOrg Analytics
    TransOrg Analytics gurugram, India

    6 days ago

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    Description

    Location : Gurgaon/Mumbai

    Job ID : DE2008

    Job Type : Full time

    Experience : 2-6 years

    Why would you like to join us?

    TransOrg Analytics, an award winning – Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East. Our products – Clonizo' (customer cloning) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the – Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.

    Overview

    This position is for a Data Engineer with an experience in SQL/NoSQL, Cloud, Hadoop and/or Spark platforms

    Responsibilities
    • Design and implement data engineering projects.
    • Integrate multiple data sources to create data lake/data mart Perform data ingestion and ETL processes using SQL, Scoop, Spark or Hive
    • Knowledge of new components and various emerging technologies in on-premises and Cloud (AWS/Azure/Google)
    • Collaborate with various cross-functional teams: infrastructure, network and database
    • Work with various teams to setup and manage users, secure and govern platforms and data and maintain business continuity through contingency plans (data archiving etc.)
    • Monitor job performances, manage file system/disk-space, cluster & database connectivity, log files, manage backup/security and troubleshoot various user issues
    • Design, implement, test and document performance benchmarking strategy for platforms as well as for different use cases
    • Setup, administer, monitor, tune, optimize and govern large scale implementations
    • Implement machine learning models on real time input data stream
    • Drive customer communication during critical events and participate/lead various operational improvement initiatives
    Education & Skills Summary
    • 2 – 6 years relevant experience in data engineering
    • Exposure to any or all latest data engineering ecosystem platforms such as AWS, Azure, GCP, Cloudera and Data bricks
    • Sound knowledge of Python/Scala/Java
    • Good knowledge of SQL / NoSQL databases and data warehouse concepts
    • Hands on experience of working on databases such as Sql Servers, PostgreSql, Cloud infrastructure, etc.
    • Excellent knowledge of data backup, recovery, security and integrity
    • Sound knowledge on Spark, HDFS/HIVE/HBASE, Shell Scripting, and Spark Streaming
    • Excellent communication skills
    • Must be proficient with data ingestion tools like Sqoop, flume, talend, and Kafka
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