Jobs in Canada

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Added 8 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
…senior or lead role. Proven experience in designing, building, and operating scalable ETL/ELT pipelines, whether through code or ETL tools, is essential. Experience in migrating data from…
Added 20 hours ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
The Role: We are seeking a highly skilled QA Engineer to join our R&D team supporting Varonis Atlas. In this role, you will design, implement, and execute tests to ensure the reliability,…
Added 1 day ago
FS
Lead software engineer
Forgeahead Solutions Corporation
Surrey, BC
- From $130,000 CAD / year
- Full-time
- Hybrid
Work must be completed both in person and remotely.
Added 1 day ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 1 day ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
We are seeking a highly motivated and detail-oriented Data Engineer who is flexible, proactive, and capable of working independently. The ideal candidate should possess strong communication…

Virtusa

Lead Software Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Requirements

Job Title: AWS Data Engineer

Location: PCS CA, Canada.

Years of Experience: 5-7 Years

Job Summary

We are seeking a highly motivated and detail-oriented Data Engineer who is flexible, proactive, and capable of working independently. The ideal candidate should possess strong communication and coordination skills, with a high level of diligence and attention to detail. This role requires a self-supervised individual who is proactive and detail-oriented.

Responsibilities

Collaborate effectively with cross-functional teams to ensure seamless project execution.
Demonstrate strong ownership by working independently with minimal supervision.
Proactively identify issues and implement timely solutions.
Maintain high standards of accuracy and attention to detail in all deliverables.
Utilize SQL and data warehousing concepts to manage and analyze data.
Work hands-on with Amazon Redshift and other AWS services.
Implement workflow orchestration using Airflow (DAGs).
Develop and manage Glue Jobs, Step Functions, RDS, and SageMaker.
Leverage PySpark and Python for data processing and analysis.
Apply MLOps practices to streamline machine learning workflows.
Utilize version control tools such as GitHub, including Copilot.

Mandatory Skills

Strong experience in SQL and data warehousing concepts (7 to 10 Years).
Hands-on experience with Amazon Redshift.
Expertise in workflow orchestration tools such as Airflow (DAGs).
Experience with AWS services including Glue Jobs, Step Functions, RDS, and SageMaker.
Proficiency in PySpark and Python.
Understanding of MLOps practices.
Familiarity with version control tools such as GitHub (including Copilot).

Preferred Skills

Experience with SSIS and Netezza (Good to have).
Knowledge of BMO processes.
Familiarity with AWS CDK (Cloud Development Kit).

Qualifications

Degree in Computer Science, Engineering, or a related field is preferred. Strong analytical and problem-solving skills are essential.

Work Experience

5-7Years

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More about this job

Responsibilities

Collaborate with cross-functional teams, independently manage work, identify and resolve issues, and maintain accuracy in deliverables. Build and orchestrate data workflows using SQL, Redshift, Airflow, AWS services, PySpark, and Python, while applying MLOps practices and version control.

Requirements

The role seeks 5–7 years of experience, including strong SQL and data warehousing expertise, with hands-on experience in Redshift, Airflow, AWS services, PySpark, and Python. MLOps knowledge and GitHub familiarity are expected; a related degree is preferred, while SSIS, Netezza, BMO processes, and AWS CDK are additional advantages.

Skills

SQL
Data Warehousing
Amazon Redshift
Apache Airflow
AWS Glue
AWS Step Functions
Amazon RDS
Amazon SageMaker
PySpark
Python
MLOps
GitHub
SSIS
Netezza
AWS CDK
Cross-Functional Collaboration

Visa sponsorship

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Keywords

Data Engineering
SQL
Data Warehousing
Amazon Redshift
AWS
Apache Airflow
DAGs
AWS Glue Jobs
AWS Step Functions
Amazon RDS
Amazon SageMaker
PySpark
Python
MLOps
GitHub
GitHub Copilot
SSIS
Netezza
BMO Processes
AWS CDK
Data Processing
Workflow Orchestration
Cross-Functional Collaboration
Problem-Solving
Version Control

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Jobs in Canada

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