Salary: CAD120000 - CAD120000 per year

Our Client:
Key Responsibilities

Design, build, and optimize scalable data pipelines and ETL processes.

Develop and maintain cloud-based data solutions using AWS and modern big data technologies.

Support data integration, performance optimization, and platform reliability.

Collaborate with cross-functional teams to deliver high-quality data solutions.

Contribute to continuous improvement of data engineering best practices.

Qualifications

5+ years of IT experience, including 4+ years working with Big Data technologies.

Strong experience with AWS services and Snowflake.

Proficiency in Python, Scala, Java, or Shell scripting.

Experience building and optimizing ETL pipelines and data warehouse solutions.

Knowledge of Spark, Hive, SQL, and Agile development practices.

Experience with Kafka, Terraform, or Ansible is considered an asset.

Big Data Engineer
Location: Hybrid (Toronto, ON)
Employment Type: Permanent, Full time
Salary: $120,000 CAD

Our Client:
Large global enterprise client.





Key Responsibilities

Design, build, and optimize scalable data pipelines and ETL processes.

Develop and maintain cloud-based data solutions using AWS and modern big data technologies.

Support data integration, performance optimization, and platform reliability.

Collaborate with cross-functional teams to deliver high-quality data solutions.

Contribute to continuous improvement of data engineering best practices.

Qualifications

5+ years of IT experience, including 4+ years working with Big Data technologies.

Strong experience with AWS services and Snowflake.

Proficiency in Python, Scala, Java, or Shell scripting.

Experience building and optimizing ETL pipelines and data warehouse solutions.

Knowledge of Spark, Hive, SQL, and Agile development practices.

Experience with Kafka, Terraform, or Ansible is considered an asset.

Thank you for submitting your application.

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📌 Big Data Engineer (Ontario)
🏢 ISG Search
📍 Ontario