Data Engineer (AWS, Snowflake, dbt)

Location: Markham ON

Position Type: Full-time / Contract
Mode: Hybrid (3 days onsite mandatory)

About the Company

Our client is a global leader in digital transformation and technology consulting delivering end-to-end solutions in cloud data engineering AI and automation. With a strong global presence and commitment to innovation the company empowers organizations to modernize optimize and transform their data-driven ecosystems.

We are seeking a Data Engineer with strong experience in modern data platforms AWS and Snowflake. Youll work within the Enterprise Data Services Group supporting the architecture development and delivery of data ecosystems that align with the clients modernization journey toward Snowflake and AI-driven insights.

• Build optimize and maintain scalable data pipelines using dbt Snowflake and AWS services.

• Support the development and maintenance of ETL/ELT workflows and data models.

• Write clean reusable and well-documented code in SQL Python and Terraform.

• Collaborate with data architects and business analysts to translate requirements into technical solutions.

• Ensure high data quality integrity and consistency across systems.

• Participate in code reviews and performance optimization.

• Troubleshoot data issues and propose sustainable fixes.

• Contribute to agile delivery and continuous improvement initiatives.

• 8 years of experience in data engineering.

• Hands-on experience with Snowflake AWS Cloud Services and dbt Core/Cloud.

• Strong command of SQL Python and shell scripting.

• Solid understanding of data modeling and ETL/ELT processes.

• Familiarity with data orchestration tools like Airflow or AWS Managed Airflow.

• Experience with version control systems (Git Bitbucket).

• Exposure to AI/ML or GenAI projects is a plus.

• SnowPro Core Certification

• dbt Developer Certification

• AWS Cloud Practitioner