Java Big Data Developer- Jersey

Posted 8 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
48K-169K Annually
Senior level
Agency • Information Technology
The Role
Design and develop Big Data applications using Java, Spark, and MapReduce on Cloudera/Hadoop ecosystems. Work with Hive, Impala, YARN, Kafka, and large datasets; write tests (JUnit), perform data analysis, and script in Unix/Python. Lead and manage global technology teams and follow industry best practices.
Summary Generated by Built In

Qualifications 

  • Minimum 8+ years of relevant experience in applications development 
  • Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce 
  • Java (core) 1.8 or above - Hands-on experience (advanced concepts of data structures, memory management and design patterns) 
  • Apache Spark - Hands on (preferable on Java spark) 
  • Bigdata ecosystem (Good understanding of Hadoop, preferable cloud era distribution), exposure to Hive, Impala, Yarn, Kafka 
  • Good Data analysis and programing skills and understanding of large datasets (no sql joins) 
  • Good knowledge of Java and spark architecture and design principles 
  • Good experience in Junit/Testing frameworks 
  • Unix/Python shell scripting experience is a big plus 
  • Experience managing global technology teams 
  • Working knowledge of industry practices and standards 
  • Good communication skills 

Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 169,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • Minimum 8+ years of relevant experience in applications development
  • Expertise in Bigdata ecosystem (Cloudera Distribution) using Spark and MapReduce
  • Java (core) 1.8 or above - hands-on experience with advanced data structures, memory management and design patterns
  • Apache Spark - hands-on (preferably Java Spark)
  • Good understanding of Hadoop (preferably Cloudera/Cloudera distribution) and exposure to Hive, Impala, YARN, Kafka
  • Good data analysis and programming skills and understanding of large datasets
  • Knowledge of Java and Spark architecture and design principles
  • Experience with JUnit/testing frameworks
  • Unix/Python shell scripting experience
  • Experience managing global technology teams
  • Working knowledge of industry practices and standards
  • Good communication skills
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