Job Description :
In the role of Team Lead – Big Data Engineer, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.


Minimum 4 years Design and Development experience in Java/Core Java related technologies
At least 2 years of hands on design and development experience on Hadoop ecosystem (Hadoop, Hbase, PIG, Hive, and MapReduce) including one or more of the following Big data related technologies – Scala, SPARK, Sqoop, Flume, Kafka and Python
Strong understanding of Hadoop fundamentals
Should be a strong communicator and be able to work independently with minimum involvement from client SMEs
Bachelor’s degree or foreign equivalent required. Will also consider three years of relevant work experience in lieu of every year of education

Preferred Skills:

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture
Must have strong programming knowledge of Core Java - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files
Strong understanding and hands-on programming/scripting experience skills – UNIX shell, Perl, and JavaScript
Knowledge of large data sets and experience with performance tuning and troubleshooting
Experience in one or more Domain, Financial, Manufacturing, Healthcare, or Retail
Experience and desire to work in a Global delivery environment