Job ID :
39989
Company :
Internal Postings
Location :
Pennington, NJ
Type :
Contract
Duration :
12 Months
Salary :
DOE
Status :
Active
Openings :
1
Posted :
28 Jun 2023
Job Seekers, Please send resumes to resumes@hireitpeople.com

Required Skills:

  • 3-6years experience in Hadoop stack and storage technologies, HDFS, MapReduce, Yarn, HIVE, sqoop, Impala, spark, flume, kafka and oozie
  • Extensive Knowledge on Bigdata Enterprise architecture (Cloudera preferred)
  • Excellent analytical capabilities - Strong interest in algorithms
  • Experienced in HBase, RDBMS, SQL, ETL and data analysis
  • Experience in No SQL Technologies (ex., Cassandra/ MongoDB, etc )
  • Experienced in scripting(Unix/Linux) and scheduling (Autosys)
  • Experience with team delivery/release processes and cadence pertaining to code deployment and release
  • Research oriented, motivated, pro-active, self-starter with strong technical, analytical and interpersonal skills.
  • A team player with good verbal and written skills, capable of working with a team of Architects, Developers, Business/Data Analysts, QA and client stakeholders
  • Versatile resource with balanced development skills and business acumen to operate at a fast and accurate speed
  • Proficient understanding of distributed computing principles. Continuously evaluate new technologies, innovate and deliver solution for business critical applications

Desired Skills:

  • Object-oriented programming and design experience.
  • Degree in Computer Science or equivalent.
  • Experience with automated testing methodologies and frameworks, including JUnit, is a plus
  • Python IDEs(Django, Flask), data wrangling and analytics in a python based environment
  • Fundamentals of Python - Data Structures, Collections, Pandas for file and other type of data handling, visualizations etc.
  • Visual Analytics Tools knowledge ( Tableau )
  • Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem. ( R, Python )
  • Data Integration, Data Security on Hadoop ecosystem. ( Kerberos )
  • Any Big Data certification(ex. Clouderas CCP, CCA) is a plus