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. You'll work within the Enterprise Data Services Group, supporting the architecture, development, and delivery of data ecosystems that align with the client's 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