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IT Services & Consulting

Junior Data Engineer

Toronto, Ontario, CanadaRemoteFull TimeJunior / Entry-levelPosted 2 months ago

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Role summary

AGILEFREE Inc. is seeking a full-time remote Junior Data Engineer to design, build, and maintain scalable data pipelines and systems. Responsibilities include data modeling, ETL processes, data warehousing, and data analysis. The role requires collaboration with cross-functional teams to ensure data accuracy and alignment with business objectives. A Master's degree in a related field is required, with familiarity with cloud platforms or data engineering tools being a plus.

Company Description

AGILEFREE Inc. is a Canada-based IT services and consulting firm specializing in innovative agile software solutions. Focused on addressing complex challenges faced by modern businesses, AGILEFREE delivers effective and cutting-edge solutions. With a team of experienced professionals dedicated to client success, AGILEFREE aims to be a key partner in enhancing organizations' IT capabilities. The company serves diverse industries, driving innovation and efficiency across its operations.

Role Description

This is a full-time remote role for a Junior Data Engineer. The Junior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and systems. Responsibilities include data modeling, performing Extract, Transform, Load (ETL) processes, managing data warehousing tasks, and conducting data analysis. The role involves collaboration with cross-functional teams to ensure data accuracy, accessibility, and alignment with business objectives.

Qualifications

  • Proficiency in Data Engineering and Data Modeling to design and manage data solutions
  • 2+ years of experience in Extract, Transform, Load (ETL) processes and Data Warehousing techniques
  • Knowledge of Data Analytics for interpreting and visualizing insights
  • Strong problem-solving and critical-thinking abilities
  • Ability to work collaboratively on cross-functional teams in a remote environment
  • Master’s degree in Computer Science, Data Science, Engineering, or a related field
  • Familiarity with cloud platforms or data engineering tools is a plus
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