A leading IT solutions provider is seeking an experienced Java Developer with strong expertise in the Hadoop ecosystem. The ideal candidate will have 5-10+ years of development experience, particularly in Java and related technologies, along with a good understanding of performance tuning and web development skills. This role involves working in a dynamic, team-oriented environment, where leadership in design and architecture is a plus. A Computer Science degree is required, and a master's degree would be an advantage.
Qualifications
5-10+ years experience in Java and related technologies.
2-3+ years in-depth knowledge & experience in Hadoop ecosystem.
3+ years of experience working in Linux/Unix.
Skills
Java development
Hadoop
Linux/Unix
Performance tuning
NoSQL (MongoDB)
Web development (Angular)
Education
Computer Science Degree or related
Master's degree
Job description
Requirements
Computer Science Degree or related, master degree is an advantage
5-10+ years total experience in development mainly around Java and all related technologies in the Java stack (e.g. Spring)
2-3+ years in-depth knowledge & experience in Hadoop around all the Hadoop ecosystem (M/R, Hive – master)
Spark, HBase experience is a plus
3+ years of experience working in Linux/Unix
Good understanding & experience with Performance and Performance tuning for complex S/W projects mainly around large scale and low latency
Experience with leading Design & Architecture is an advantage
NoSQL experience, mainly around MongoDB is an advantage
Web dev experience, mainly around Angular is an advantage
Hadoop/Java certifications is an advantage
Ability to work in a fast-paced, team oriented environment
Qualifications
5-10+ years total experience in development mainly around Java and all related technologies in the Java stack (e.g. Spring)
2-3+ year in depth knowledge & experience in Hadoop around all the Hadoop ecosystem (M/R, Hive – master)
Additional Information
2-3+ year in depth knowledge & experience in Hadoop around all the Hadoop ecosystem (M/R, Hive – master)