Data Engineer (AWS, Snowflake, dbt)

HRC Global Services - 24 emplois

Markham, ON

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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.

About the Role

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.

Key Responsibilities

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.

Required Skills & Experience

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.

Preferred Certifications

SnowPro Core Certification
dbt Developer Certification
AWS Cloud Practitioner

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Foire aux questions

Where is this Data Engineer role located and what is the work setup?

This role is based in Markham, ON, and operates in a hybrid mode with 3 days onsite mandatory.

What technologies will I be working with in this Data Engineer position?

You’ll build and maintain data pipelines using dbt, Snowflake, and AWS services, and write code in SQL, Python, and Terraform.

What responsibilities should I expect in this Data Engineer role?

Responsibilities include developing ETL/ELT workflows, ensuring data quality and consistency, collaborating with architects and analysts, and participating in code reviews and performance optimization.

How experienced does a candidate need to be for this role?

The position requires 8+ years of data engineering experience with hands-on Snowflake, AWS, and dbt Core/Cloud experience.

Are there any certification preferences for this job?

Preferred certifications include SnowPro Core, dbt Developer Certification, and AWS Cloud Practitioner.

What programming languages and tools should I be proficient in for this job?

Proficiency in SQL, Python, and shell scripting is required, along with familiarity with data orchestration tools like Airflow or AWS Managed Airflow.