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Data Engineer (Big Data)

  • Toronto, ON, Canada

$60 to $67 CAD / hour · Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
$60 to $67 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.

Job Title: Data Engineer (Big data)

Location: Toronto, ON

Work Arrangement: Hybrid-3 Days onsite

Employment Type: Contract

Duration: 12 Months

Domain: BFSI

Pay Rate: CAD 60-67/hour Incorporated

Application Deadline: Sep 30th, 2026

SKILLS REQUIRED

  • Strong hands-on experience with PySpark and Apache Spark, including Spark SQL and DataFrames.
  • Proficiency in Apache Kafka for real-time data streaming and integration.
  • Strong knowledge of the Hadoop ecosystem, including HDFS, Hive, and YARN.
  • Hands-on experience with Apache NiFi for data flow and integration.
  • Strong SQL and Python programming skills.

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

More about this job

Responsibilities

The role involves developing and managing big data pipelines using PySpark and Apache Spark. It focuses on real-time data streaming and integration within the BFSI domain.

Requirements

Candidates must have strong hands-on experience with the Hadoop ecosystem, Apache Kafka, and Apache NiFi. Proficiency in SQL and Python programming is required.

Skills

  • PySpark
  • Apache Spark
  • Spark SQL
  • DataFrames
  • Apache Kafka
  • Hadoop
  • HDFS
  • Hive
  • YARN
  • Apache NiFi
  • SQL
  • Python

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Finance & Accounting

Keywords

  • Big Data
  • PySpark
  • Apache Spark
  • Spark SQL
  • DataFrames
  • Apache Kafka
  • Hadoop
  • HDFS
  • Hive
  • YARN
  • Apache NiFi
  • SQL
  • Python
  • BFSI
  • Data Engineering
  • Real-time Data Streaming
  • Data Integration

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