Works in requirements like Engineering, Design, Development, and Deployment
Provides technical expertise in Big Data space (Apache Spark, Kafka, Flink, Hadoop Stack like M/R, HDFS, Hive, HBase, Flume, Sqoop,etc. NoSQL stores like Cassandra, HBase etc)
Provides strong technical leadership in adopting and contributing to open source technologies related to Big Data
Good development practices
Hands on coder with good experience in programming languages like Java, Python, C++ or Scala.
Good understanding of programming principles and development practices like checkin policy, unit testing, code deployment
Self starter to be able to grasp new concepts and technology and translate them into large scale engineering developments
Excellent experience in Application development and support, integration development and data management.
Align Sigmoid with key Client initiatives
Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
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Hands on coder with good understanding on enterprise level code
Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
Culture
Must be a strategic thinker with the ability to think unconventional / out:of:box.
Analytical and data driven orientation.
Raw intellect, talent and energy are critical.
Entrepreneurial and Agile : understands the demands of a private, high growth company.
Ability to be both a leader and hands on "doer".
Profile of Desired Candidate:
Strong work experience in Technical Development(Coding).
Hands on experience on Core Java or Scala
Exposure to functional programming is plus.
Work Experience with third-party libraries and frameworks
Strong in Algorithms, Data Structure, OOPS Concepts
Exposure to Big Data Technologies or distributed computing would be a plus.
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Education Qualification:
Engineering Bachelors/Masters in Computer Science/IT.
Note:
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