Hadoop Software Engineer : 2 - 4 Years (2-4 Years)

Posted on 25-Jan-2017 (Job Expired) by : Bizacuity Solutions Pvt. Ltd.
Not Disclosed

Keyskills : J2EE Java MySQL Spring SQL Server web services

Job Summary

3 Openings
IT-software services
IT/ Software/ Services

Job Description

  • Hadoop development and implementation.
  • Pre-processing using Hive and Pig.
  • Strong Knowledge in Spark & Scala.
  • Understanding of AWS services and infra.
  • DB knowledge is an added advantage.
  • Kafka, Sqoop, Flume knowledge.
  • Knowledge on Sqoop, Oozie, Zookeeper is added advantage.
  • Writing high-performance, reliable and maintainable code in Java and Scala.
  • Loading from disparate complex data sets.

Roles & Responsibilities

    • The candidate should have 2+ years experience in software development, with at least 1-2 years in Hadoop.
    • He/She must demonstrate analytical and problem solving skills, particularly those that apply to a Big Data environment & have a deep understanding and related experience with Hadoop stack  internals, HBase, Hive, Pig and Map/Reduce Deep understanding of schedulers, workload management, availability, scalability and distributed data platforms.
    • Candidate must also have extensive experience building and designing large-scale distributed applications with expert knowledge in developing and debugging in Java/J2EE.

Company Profile

Our name is derived from the word Acuity and we are true to its meaning. Acuity means keenness or acuteness in vision or thought. Businesses are successful because they work through each and every bit of detail. At BizAcuity, we believe that seeing the fine details of the business is the most important aspect for any organization. Seeing the finer details allows management to make accurate decisions. We are a fast growing Business intelligence strategy company, providing reliable, scalable and cost effective consultancy and services to clients across the globe. Our team has built core competencies in all areas related to Business Intelligence, Data warehousing and Analytic.

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