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Big Data Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • β€’
    Decision Making
  • β€’
    Time Management
  • β€’
    Communication

Roles & Responsibilities

  • 7+ years of experience as a big data developer.
  • Proficiency in Scala with Spark and HDFS.
  • Hands-on experience with Shell scripting and SQL.
  • Knowledge of SDLC, Agile processes, and system design.

Requirements:

  • Develop and implement big data solutions using Scala and Spark.
  • Manage data processing workflows with tools like Sqoop and HBase.
  • Collaborate with teams to design system architecture based on project goals.
  • Ensure technical solutions are professional, sound, and align with project requirements.

Job description

Primary – Scala with Spark

Hdfs ,Spark with scala , Scala (Functional Programming ), Hbase , Sql , Sqoop ,Shell Script
Optional : Apache Kafka , Akka Http , TeamCity , Udeploy , Autosys , SBT
Good to have : Pivotal Gemfire

7+ years of strong experience as big data developer.
Hands on knowledge of Shell Scripting.
Familiar with standard SDLC and Agile processes.
Ability to produce professional, technicallysound solutions.
Strong writing, communication, timemanagement, decisionmaking, and basic task organization skills
Experience in system design based on given constraints and goals
Experience in managing and implementing successful projects
Ability to take ownership and make technical decisions on software development projects
Extensive knowledge of software engineering and objectoriented design
Consistently demonstrates clear and concise written and verbal communication.


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