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Hadoop Developer

Job ID : 34442

Job Title : Hadoop Developer

Location : Manchester, MI

Comapny Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $34000 - $44000  per hour

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 08-16-2023

Required Skills : Hadoop, Pig, HBase, Hive.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Requirement:

  • Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL.
  • Data ingestion experience from message queue, file share, REST API, relational database, etc. and experience with data formats like json, csv, xml.
  • Experience working with SPARK Structured steaming.
  • Experience working with Hadoop/Big Data and Distributed Systems.
  • Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
  • Hands on programming experience in at least one of Scala, Python, PHP, or Shell Scripting, to name a few.
  • Performance tuning experience with spark /MapReduce or SQL jobs.
  • Experience and proficiency with Linux operating system is a must.
  • Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines.
  • Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle.
  • Experience using Source Code and Version Control systems like SVN, Git, Bit Bucket etc.
  • Experience working with Jenkins and Jar management.
  • Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets.
  • Ability to comprehend customer requests and provide the correct solution.
  • Strong analytical mind to help take on complicated problems.

Key Skills:

  • Knowledge of the Hadoop ecosystem and its components.
  • Ability to write manageable, reliable, and high-performance codes.
  • Expert knowledge of Hadoop, Pig, HBase, and Hive.
  • Work experience in HQL Hibernate Query Language.

Company Details :

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