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DATA & AI ENGINEER

  • Engineer, BC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

  • 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

Build and work with data pipelines, ETL/ELT processes, and data integration solutions. Apply machine learning and data analysis to develop data-driven solutions and turn large datasets into insights.

Requirements

A degree in Computer Engineering, Data Science, Artificial Intelligence, or a similar field is requested, along with professional experience in data engineering and AI-related projects. Candidates should have strong Python and data-processing skills, experience with databases and machine learning, and fluency in English; familiarity with big data, streaming, and cloud data platforms is valued.

Skills

  • Python
  • Data Processing
  • Data Pipelines
  • ETL/ELT
  • Data Integration
  • Machine Learning
  • SQL
  • NoSQL
  • Big Data
  • Apache Spark
  • Apache Kafka
  • Cloud Data Platforms
  • Data Analysis
  • Communication
  • Agile

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering

Keywords

  • Data Engineering
  • Artificial Intelligence
  • Data Science
  • Computer Engineering
  • Python
  • Data Processing
  • Data Pipelines
  • ETL
  • ELT
  • Data Integration
  • Machine Learning
  • Data-Driven Solutions
  • SQL
  • NoSQL
  • Big Data
  • Apache Spark
  • Apache Kafka
  • Streaming Technologies
  • Cloud Data Platforms
  • Data Analysis
  • Agile Teams
  • English

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