Experience: 6 + yrs
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Key Responsibilities:
- 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
- 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.
