Location: Pune, India
Must Have:
- 4-7 years of very strong server-side Java experience, especially in an Open
Source, data-intensive, distributed environments with minimum 2
years experience in Big data related technologies
- Preferred: worked on open source products and contributions in them
- Self-starter & resourceful personality with ability to manage &
pressure situations
Big Data:
- MUST have HANDS-ON
experience ( > 2 yr) on Hadoop tools/technologies like Map Reduce,
Spark, Hive, HDFS.
- HANDS-ON expertise and excellent understanding
on big data toolset such as Sqoop, Spark, Kafka to name few
- Good working knowledge in NoSQL DB (Mongo, Hbase, Casandra)
- Implemented complex projects dealing with the considerable data
size (TB/ PB) and with high complexity in production environment.
J2EE and Database:
- 4+ years of experience in developing Java
applications and web frameworks
- Strong core java, and related
enterprise tech stack like Spring, hibernate.
- Strong understanding of web services, knowledge of REST architecture
and working experience integrating with Web Services
- Experience with web service development frameworks like Spring-WS or
Jersey or Apache CXF and persistence frameworks such as Hibernate
- Good knowledge of design patterns, data structures, algorithms,
and performance optimization techniques
- Hands-on experience in working with relational databases such as MySQL,
Oracle, SQL Server
Role & Responsibilities:
Implementation of various solutions arising out of the large data processing (TB’s/
PB’s) over various NoSQL, Hadoop, and MPP-based products. Hands-on development for
solving problem statements using big-data technologies. Participation in architectural
discussions and coming up with solutions with best practices. Follow agile process
(scrum/kanban) for on-time delivery of working solutions
and meeting client expectations.