Senior Big Data Engineer

Responsibilities: 

  • Implementation including loading from disparate data sets, preprocessing using Hive and Pig.
  • Scope and deliver various Big Data solutions
  • Ability to design solutions independently based on high-level architecture.
  • Manage the technical communication between the team and client
  • Building a cloud-based platform that allows easy development of new applications

Qualification:

  • 5-8 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.
  • Ideally, this would include work on the following technologies:
  • Expert-level proficiency in at least one the following: R, C++ or Python (preferred). Scala knowledge a strong advantage.
  • Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies — one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc..
  • Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage.
  • Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI)
  • Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
  • Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works
  • In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners.

Education:

B.E/B.Tech in Computer Science or related technical degree