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Data Engineer

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
10+ Years of experience
Posting language
English
Posted

Original job description

10+ Years of experience

  • Strong experience in Kafka, Spark, Scala,SQL ,Hive, Impala, Hadoop, Splunk, Autosys .
  • Data Analysis and Data Wrangling skills when dealing with Huge Volume.
  • Performance analysis, troubleshooting and resolution including Cloudera Big Data eco system.
  • Experience with Linux-based infrastructures.Competencies:

Strong verbal and written communication skills; ability to face off to business users

Self-motivated individual and with determination to achieve goals

Willingness to learn, both technically and professionally

Strong analytical and problem solving skills

Good team working skills and ability to work in a distributed global team environment

Ability to work on a fast-pace environment; Flexible and able to deliver quality results in the required timeframe
More about this job

Responsibilities

Analyze and wrangle large volumes of data using big data technologies and tools. Perform performance analysis, troubleshoot issues, and resolve them within the Cloudera big data ecosystem.

Requirements

Requires 10 or more years of experience and strong skills in Kafka, Spark, Scala, SQL, Hive, Impala, Hadoop, Splunk, Autosys, and Linux-based infrastructure. Candidates should also have strong analytical and problem-solving abilities, communication and teamwork skills, and the flexibility to deliver quality results in a fast-paced environment.

Skills

  • Kafka
  • Spark
  • Scala
  • SQL
  • Hive
  • Impala
  • Hadoop
  • Splunk
  • Autosys
  • Data Analysis
  • Data Wrangling
  • Performance Analysis
  • Troubleshooting
  • Cloudera Big Data Ecosystem
  • Linux
  • Communication

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Consulting

Keywords

  • Data Engineering
  • Kafka
  • Spark
  • Scala
  • SQL
  • Hive
  • Impala
  • Hadoop
  • Splunk
  • Autosys
  • Data Analysis
  • Data Wrangling
  • Large-Volume Data
  • Performance Analysis
  • Troubleshooting
  • Cloudera
  • Big Data
  • Linux
  • Problem Solving
  • Business Users
  • Distributed Global Teams
  • Information Technology
  • IT Services
  • IT Consulting

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