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Mid-Level Big Data Developer


Job ID : 15676

Job Title : Mid-Level Big Data Developer

Location : New York, NY

Company Name : HN Services USA

Industry : Information Technology

Salary : $54,839 - $108,391  per year

Job Type : Contractor

Posted on: 2020-10-02


Required Skills : Hortonworks, Hadoop Clusters/HDFS, Spark, Hive

Benefits : No benefits are available


Job Description:

  • The first goal of this position is the delivery of a data lake through multiple Hadoop clusters to treat massive amounts of unstructured data in the banking, finance, and insurance sector.
  • You are passionate about new technologies and in particular the world of Big Data.
  • You are autonomous, organized, know how to prioritize your work, and a go-getter.
  • You can think outside the box and are independent enough to not require a ton of hand-holding but you still play nice with others and work well in a team.

Responsibilities:

  • Work within an agile team (Kanban / Scrum).
  • Implement new functionalities in the data ingestion/transformation processes within the Hadoop cluster
  • Identify and test new modules of the Hadoop stack
  • Collaborate with data scientists for the industrialization of machine learning algorithms (clustering, recommendations, etc.)
  • You are dynamic, curious, and proactive.
  • You think in terms of the big picture but are also detail-oriented.
  • In this fast-paced environment, you seek solutions that meet defined requirements to support a global investment bank.

Required Expertise:

  • 2-3 years of professional experience using Big Data tech stack (Hadoop, Spark, Hortonworks, SQL, et al)
  • You have acquired knowledge in Big Data architecture and Hadoop development throughout your academic and early career.
  • Experience with the big data technical environment: Hortonworks, Hadoop clusters/HDFS, Spark, Hive, Scala, Python, Hbase, Kafka, Elastic search, SQL.

Desired Expertise:

  • 2-3 years of experience in the banking, finance, or insurance sector

     

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