Hotline: 404-491-0865

Big Data Engineer (US Remote)

Mandatory:

  • Minimum 2 years experience in Spark with Scala or Python or Core Java, Hive, Hbase, and other related Hadoop technologies. Should have sound knowledge on creating Spark jobs for data transformation and aggregation and produce unit tests for Spark transformations and helper methods
  • Minimum 2 years prior experience in sourcing, transforming and analyzing vast amounts of raw data from various systems using Spark to provide ready-to-use data to the business team.
  • Sound knowledge about the Hadoop ecosystem. Hands-on experience in Map-Reduce, Hive, Hue, Yarn, Sqoop and Oozie
  • Hands on experience and a deep understanding of AWS/GCP/Azure Services and Cloud native tools
  • Strong understanding of design patterns used in Big Data.
  • Hands on expertise in Scala/Java or Python – specifically collections, Multithreading, Design Patterns, OOPS concepts.
  • Familiar with DevOps tools such as Jenkins, Git/Bitbucket, Jira, etc.
  • Experience with performance identification and enhancement techniques on Spark and other related BigData technologies
  • Working knowledge of next generation data platforms including Streaming technologies, Kafka, Spark, NoSQL, GraphdB, Data Virtualization, in-memory datastores and self-service data platforms
  • Experience delivering solutions using an Agile/Scrum methodology
  • Excellent communication skills and experience working remotely and within a cross-region team
  • Nice to have:

  • AWS/GCP/Azure certification in development, architecture or data analytics areas
  • Big data or Data Engineering certification
  • Hands-on experience working on Talend as Big Data and/or data integration tool
  • Job Type: Full-time

    Pay: $40,000.00 – $60,000.00 per year

    Benefits:

  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Professional development assistance
  • Vision insurance
  • Schedule:

  • Monday to Friday
  • Education:

  • Bachelor’s (Preferred)
  • Experience:

  • SQL: 2 years (Preferred)
  • AWS/GCP/Azure: 2 years (Preferred)
  • Big Data Processing: 2 years (Preferred)
  • Work Location:

  • Multiple locations
  • Company’s website:

  • https://congerotechnology.com
  • Benefit Conditions:

  • Only full-time employees eligible
  • Work Remotely:

  • Yes, temporarily due to COVID-19
  • Contact Us

    Eltas EnterPrises Inc.
    3978 Windgrove Crossing
    Suite 200A
    Suwanee, Georgia
    30024, USA
    contact@eltasjobs.com

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