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IT/ Computers - Software
Posted On
3rd Aug 2018
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Job Description
    - Strong development experience is a must. Consistent track record for education and professional career. 
    - Experience with Apache Spark (required) - Good to have experience with Storm, Kafka, NiFi, Spark Streaming, Spark MLlib, Spark GraphX, Flink, Samza, Map Reduce 
    - Familiarity with data loading tools like Flume, Sqoop. 
    - Knowledge of workflow/schedulers like Oozie. 
    - Proven understanding with Hadoop, HBase, Hive, Pig, and HBase.
    - Good understanding of Object oriented design, Design Patterns
    - Has done development or debugging on Linux/ Unix platforms.
    - Motivation to learn innovative trade of programming, debugging and deploying 
    - Self-starter, with excellent self-study skills and growth aspirations 
    Excellent written and verbal communication skills. Flexible attitude, perform under pressure.
    - Test driven development, a commitment to quality and a thorough approach to the work.
    - A good team player with ability to meet tight deadlines in a fast-paced environment Requirement: Hadoop Senior Developer Apache Spark Storm, Kafka, NiFi, Spark Streaming, Spark MLlib, Spark GraphX, Flink, Samza, Map Reduce Good to have Java, Scala, R AWS Linux/ Unix Extensive Junit in projects. Responsibilities: 
    - Improve complex data flow, data structures and database design to move to next generation platform.
    - Maintain, enhance, and implement bug fixes and support the product and data systems; proactively monitor events, investigate issues, analyze solutions, and drive problems through to resolution. - Collaborate with team on data solutions and domain modelling.
    - Enforce good agile practices like story estimation and test-driven development. 
    - Identify opportunities for continuous and automated deployment. 
    - Introduce and follow good development practices, innovative frameworks, and technology solutions that help business move faster.
    - Drive continuous improvement and innovation. - Work with cross functional teams effectively

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