Big Data Engineer

ISG Search Inc; Toronto; Hybrid; CAD 102,000 - 138,000; Full time

Job summary

ISG Search Inc. is seeking a Big Data Engineer to design, build, and optimize scalable data pipelines and ETL processes. You will develop and maintain cloud-based data solutions using AWS and modern big data technologies, while supporting data integration and platform reliability.

Collaboration with cross-functional teams will ensure high-quality data solutions and continuous improvement of practices. The role requires 5+ years in IT with 4+ years in Big Data, strong AWS and Snowflake expertise,

Qualifications

• Minimum 5 years in IT with 4+ years in 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 warehouses.
• Knowledge of Spark, Hive, SQL, and Agile practices.
• Experience with Kafka, Terraform, or Ansible is a plus.

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL processes.
• Develop and maintain cloud-based data solutions using AWS and modern big data tech.
• 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.

Skills

IT experience

Big Data experience

AWS

Snowflake

Python/Scala/Java

ETL pipelines

Spark/Hive/SQL

Agile

Kafka

Terraform/Ansible

Tools

AWS

Snowflake

Kafka

Terraform

Ansible

Job description

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.