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Big Data Systems Engineer

  • Toronto, ON, Canada

$56 to $57.14 CAD / hour · Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$56 to $57.14 CAD / hour
Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Immediate need for a talented Big Data Systems Engineer. This is a 06+months contract opportunity with long-term potential and is located in Toronto, ON(Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-19758

Pay Range: CAD 56 - CAD 57.14/hour.

Key Requirements and Technology Experience:

  • Key Skills: SENIOR SPARK DEVELOPER, SCALA BIG DATA DEVELOPER, DATA ENGINEER, APACHE SPARK,JAVA, SPRING BOOT.
  • 8+ years • Big Data: Apache Spark, Hadoop ecosystem(HDFS, Hive, Yarn).
  • Programming : Expert in Scala and Java .
  • Backend :Spring Boot, RESTful APIs .
  • Database : Microsoft SQL Server(MSSQL) .
  • Nice to have : Experience in migrating on-premise applications to cloud (Azure/AWS), familiarity with machine-learning concepts and workflows Primary Responsibility .
  • Migrate and refactor existing Java based Spark modules to Scala, ensuring code quality, performance, and scalability.
  • Individually design, develop, test, and productionize the new Scala spark module with minimal supervision

Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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More about this job

Responsibilities

Migrate and refactor existing Java-based Spark modules into Scala to improve performance and scalability. Design, develop, and productionize new Scala Spark modules with minimal supervision.

Requirements

Requires over 8 years of experience in Big Data technologies, specifically Apache Spark and the Hadoop ecosystem. Expertise in Scala, Java, Spring Boot, and MSSQL is essential.

Skills

  • Apache Spark
  • Scala
  • Java
  • Spring Boot
  • Hadoop
  • HDFS
  • Hive
  • Yarn
  • Microsoft SQL Server
  • RESTful APIs
  • Data Engineering

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Software
  • Technology
  • Engineering
  • Consulting

Keywords

  • Big Data
  • Apache Spark
  • Scala
  • Java
  • Spring Boot
  • Hadoop
  • HDFS
  • Hive
  • Yarn
  • Microsoft SQL Server
  • MSSQL
  • RESTful APIs
  • Azure
  • AWS
  • Cloud Migration
  • Machine Learning
  • Data Engineering
  • Backend Development
  • Refactoring
  • Scalability

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