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DATA & AI ENGINEER

  • Engineer, BC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

  • Degree in Computer Engineering, Data Science, Artificial Intelligence or similar areas
  • Professional experience in data engineering and AI-related projects
  • Strong knowledge of Python and data processing frameworks
  • Experience with data pipelines, ETL/ELT processes and data integration
  • Experience with Machine Learning models and data-driven solutions
  • Knowledge of SQL and NoSQL databases
  • Familiarity with big data and streaming technologies (Spark, Kafka or similar) is valued
  • Experience with cloud data platforms is a plus
  • Ability to analyse large datasets and translate data into insights
  • Good communication and interpersonal skills
  • Ability to work in agile teams
  • Fluency in English
More about this job

Responsibilities

The role involves designing and implementing data pipelines and ETL/ELT processes to integrate data. The engineer will develop AI-related projects and machine learning models to translate large datasets into actionable insights.

Requirements

Candidates must have a degree in Computer Engineering, Data Science, or AI, along with professional experience in data engineering. Proficiency in Python, SQL, and familiarity with big data technologies like Spark or Kafka is required.

Skills

  • Python
  • Data Engineering
  • Artificial Intelligence
  • ETL/ELT
  • Machine Learning
  • SQL
  • NoSQL
  • Spark
  • Kafka
  • Cloud Data Platforms
  • Data Integration
  • Data Pipelines
  • Big Data
  • Streaming Technologies
  • Agile
  • English Fluency

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Engineering
  • Software
  • Science & Research

Keywords

  • Python
  • Data Engineering
  • Artificial Intelligence
  • ETL
  • ELT
  • Machine Learning
  • SQL
  • NoSQL
  • Spark
  • Kafka
  • Big Data
  • Cloud Data Platforms
  • Data Pipelines
  • Data Integration
  • Agile
  • Data Science
  • Computer Engineering

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