Junior Data Engineer

Amaris Consulting

Toronto

On-site

CAD 40,000 - 45,000

Full time

14 days+

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Job summary

A leading consulting firm in Toronto is looking for a Junior Data Engineer to join their data team. The successful candidate will design and maintain ETL/ELT pipelines and ensure data quality across platforms. Required skills include strong proficiency in SQL and familiarity with Python. A Bachelor's degree in a related field is a must. The compensation range is CAD 40K-45K. Candidates without Canadian work experience are encouraged to apply.

Qualifications

  • 1 to 3 years of experience in data engineering or a similar role.
  • Strong proficiency in SQL.
  • Good knowledge of Python (data manipulation, scripting, automation).
  • Familiarity with ETL tools or frameworks.

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines.
  • Write and optimize SQL queries for data extraction and transformation.
  • Support data integration from multiple sources.
  • Ensure data quality, consistency, and integrity.

Skills

SQL
Python
Data integration
ETL/ELT processes
Problem-solving
Communication

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

ETL tools or frameworks
Cloud platforms (Azure, AWS, GCP)

Job description

As a Junior Data Engineer, you will join a dynamic data team and contribute to the development, optimization, and maintenance of data pipelines and data infrastructure.

You will work closely with data analysts, data scientists, and business stakeholders to ensure data availability, quality, and reliability across the organization.

Your main responsibilities will include:

  • Designing, developing, and maintaining ETL/ELT pipelines
  • Writing and optimizing SQL queries for data extraction and transformation
  • Supporting data integration from multiple sources (APIs, databases, cloud platforms)
  • Ensuring data quality, consistency, and integrity
  • Participating in data modeling and database design
  • Collaborating with cross-functional teams to understand data needs
Profile Requirements
  • 1 to 3 years of experience in data engineering or a similar role
  • Strong proficiency in SQL
  • Good knowledge of Python (data manipulation, scripting, automation)
  • Familiarity with ETL tools or frameworks
  • Basic understanding of data warehousing concepts
  • Experience with cloud platforms (Azure, AWS, or GCP) is an asset
  • Good problem-solving skills and attention to detail
  • Strong communication skills and ability to work in a team
Education
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field
Expected Compensation Range:

40K-45K The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications, in compliance with applicable pay transparency requirements.

Canadian Experience Requirement:

No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.

Artificial Intelligence (AI) Disclosure:

No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.

Statement Regarding Job Vacancy:

This position is an existing vacancy/Job creation, created to support ongoing project needs.

Recruitment Process & Feedback Timeline:

Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage.

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