Data Engineer

Responsibilities

The Data Engineer will design and implement projects to consolidate data from various sources to facilitate informed decision-making. They are responsible for architecting modern data pipelines and creating technical best practices for modeling and report design.

Requirements

Candidates must have at least 5 years of experience in data engineering and 4 years of hands-on experience with Azure Databricks. Proficiency in Python, TSQL, ANSI SQL, and agile development methodologies is required.

Skills

• Data Engineering
• Azure Databricks
• AI-ready data solutions
• Data analytics
• Machine learning
• Generative AI
• Agile development
• DevOps
• Git
• TSQL
• ANSI SQL
• Python
• Data modeling
• Report design
• Data pipelines

About this role

This role is based remotely in the Greater Toronto Area, Canada. 

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.  

As a Data Engineer, you play a vital role in our commitment to data-driven decision-making. Your responsibilities involve designing and implementing projects that consolidate data from various sources, facilitating analysis and informed decision-making. Your primary focus is ensuring that data is easily accessible and user-friendly, allowing for both routine and ad-hoc analysis.

We are committed to fair and transparent compensation. The salary range for this role is based on several factors including experience, skills, and qualifications and is $145,000 to $165,000 CAD. 

Essential Duties and Responsibilities

* Collaborate with colleagues and clients to provide the necessary tools for routine and non-routine data analysis.
* Accelerating all efforts through leveraging AI
* Translate business requirements into technical solutions, drawing on your strong business acumen.
* Analyze current business practices, processes, and procedures to identify future opportunities.
* Assess client needs to create customized data design services.
* Offer exceptional support to our business partners.
* Develop the foundational components for evolving enterprise data solutions.
* Architect and construct modern data pipelines.
* Implement effective metrics and monitoring systems.
* Make independent decisions and provide guidance to your peers.
* Create and promote technical best practices for modeling and report design.
* Perform any other related duties as required or assigned.

About Graebel Companies, Inc.

Human Resources Services · 1,001-5,000 employees · headquartered in Aurora, CO · founded 1950