Salary: CAD - CAD 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 up-to-date 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.

#J-18808-Ljbffr

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