Java Hadoop Developer - Bengaluru/Bangalore @ TEKSKILL

Job description:

Role Description

We are looking for a full stack developer with 5+ years of experience having strong Java and Hadoop/Solr skills to join the team responsible to design, develop, deliver and support the Unify Platform for Advisory Business

Responsibilities

Design, code, and implement highly scalable and reliable web-based applications.

Coordinate with other teams, business and vendors as necessary.

Deliver on all phases of development work from initial kick-off, technical setup, application development, and support.

Identify opportunities for adopting new technologies to solve existing needs and predicting future challenges

Perform ongoing refactoring of code, utilizing visualization and other techniques to fast track concepts, and delivering continuous improvement

Work with product managers to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues

Manage your own time, and work well both independently and as part of a team

Quickly generate and update proof of concepts for testing and team feedback

Embrace emerging standards while promoting best practices

Primary Skills

Must have professional java experience.

Expertise in: Java (JDK 1.8+) ,Ant/Maven, Spring Framework, Service Oriented Architecture, Building RESTful (JSON) and SOAP services (CXF, JAX-RS), Consuming RESTful services, SOAP services, Multi-Threading ,Log4j, Jackson, Database design, SQL, JDBC, transaction handling, jUnit test cases

Proficiency in SOLR/Elastic Search

Proficiency in one or more general purpose big data languages - Hadoop, Hive, HDFS and Spark

Thorough understanding of XML, JSON, Web Service technologies, and data structure fundamentals

Demonstrated experience in Agile development, application design, software development, and testing

Expertise in objected oriented analysis and design across a variety of platforms

Good to have Skills

Experience in Python, Spark MQ or Autosys