The Role
Senior Java Big Data Developer to design and build Big Data applications on Cloudera/Hadoop using Java and Spark/MapReduce. Work with Hive, Impala, YARN, Kafka; perform data analysis, unit testing, and scripting. Lead/manage global technology teams and follow industry practices and standards.
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 52,000
Maximum Compensation: USD 184,000
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 (advanced concepts of data structures, memory management and design patterns)
- Apache Spark - Hands on (preferable on Java spark)
- Exposure to Hive, Impala, YARN, Kafka
- Good data analysis and programming skills and understanding of large datasets
- Good knowledge of Java and Spark architecture and design principles
- Good experience in 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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The Company