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Hiring Data Engineer

Artech · Toronto, ON · Hybrid

100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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  • Posted today
  • Still listed on the employer's own board

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Hiring Data Engineer at Artech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Role

Data Engineer

Duration

12 months

Hybrid

3 days a week in office

Max BR

52 CAD/ hr.

An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on experience in PySpark, Apache Spark, Kafka, Hadoop ecosystem components, and Apache NiFi, with a strong understanding of data ingestion, transformation, and real-time processing frameworks.

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines using PySpark, Spark, Hadoop, and Apache NiFi.
  • Build and maintain batch and real-time data processing solutions.
  • Develop and support Kafka-based streaming applications and event-driven architectures.
  • Create and optimize ETL/ELT workflows for large-scale structured and unstructured datasets.
  • Develop complex SQL queries for data extraction, transformation, validation, and troubleshooting.
  • Implement data ingestion solutions from databases, APIs, files, and streaming sources.
  • Monitor, troubleshoot, and enhance the performance of Spark jobs and data pipelines.
  • Collaborate with architects, business analysts, and development teams to deliver high-quality data solutions.
  • Support platform upgrades, deployments, testing, certification, and production releases.
  • Ensure data quality, governance, security, and operational excellence across data platforms.

Mandatory Skills

  • PySpark
  • Apache Spark (Spark SQL, DataFrames)
  • Apache Kafka
  • Hadoop Ecosystem (HDFS, Hive, YARN)
  • Apache NiFi
  • SQL
  • Python

Preferred Skills

  • Spark Streaming
  • Airflow / Oozie
  • Hive
  • Scala
  • Jenkins, Bitbucket, Git
  • JIRA, Confluence
  • Cloud Platforms (GCP/AWS/Azure)
  • Data Warehousing concepts and Dimensional Modeling

Custom Fields

Name

Child

Value

IS-BFSI-Canada-1-Group2

Name

Assets

Value

None

Name

Parent

Value

IS-BFSI-Canada-1-Parent

Name

Requisition ID

Value

11003737

Name

Type of Asset

Value

None

Name

Business Vertical

Value

CL-BFSI Americas 2

Name

Work Assignment Location

Value

Hybrid

Name

Work Location CDF

Value

~Toronto 24th Floor~TCCI Canada Corporate~

Skills

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