GFL Environmental Inc. Logo

GFL Environmental Inc.

Data Engineer

Posted 25 Days Ago
In-Office
Vaughan, ON, CAN
Mid level
In-Office
Vaughan, ON, CAN
Mid level
Develop, maintain, test, and optimize scalable data pipelines and Data Lakehouse architecture on AWS. Design storage and data models, manage Redshift/RDS/DynamoDB/S3, use Glue/EMR/Lambda for processing, enforce security and compliance, optimize performance and costs, and collaborate with analysts and data scientists to enable analytics and BI.
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Job Description

Ready to elevate your career? GFL is expanding! We are officially hunting for our next Data Engineer in Vaughan, ON—someone ready to bring fresh ideas and grow alongside a dynamic team. 

About Us

GFL is one of the largest diversified environmental services companies in North America, providing comprehensive solid waste management services from its platform of facilities throughout Canada and 18 U.S. states. Recognized by our signature fleet of bright green trucks and equipment, we offer a wide range of environmental and industrial services to businesses, communities and households, providing a consolidated and sophisticated approach to meeting our customers’ needs. One of the keys to our success lies in the diversity of our services and our ability to deliver robust integrated solutions, all from a single efficient company. We believe that, by providing safe, accessible and cost-effective solutions, we encourage greater environmental responsibility and allow our customers and the communities we serve to be Green For Life. 

The Role

The Data Engineer will be responsible for developing, maintaining, testing, and optimizing data management systems with a focus on Data Lakehouse architecture. The role includes working with vast datasets, designing scalable data models, managing data warehouses and lakes, and ensuring seamless data integration and accessibility for analytics and business intelligence.

Key Responsibilities

• Design and Implementation of Data Pipelines: Develop and maintain robust, scalable, and efficient data pipelines that can ingest, process, and distribute data across multiple AWS services and systems.

• Data Storage and Database Management: Design and implement data storage solutions using AWS data services such as Amazon RDS, Amazon DynamoDB, Amazon Redshift, and Amazon S3, ensuring data integrity, availability, and security.

• Data Processing and Analysis: Utilize AWS analytics and data processing services such as AWS Glue, Amazon EMR, and AWS Lambda to analyze data, derive insights, and support business decision-making.

• Data Security and Compliance: Implement and manage security measures to protect data and ensure compliance with data protection regulations and AWS best practices, including encryption, access controls, and audit logging.

• Optimization and Scalability: Monitor, optimize, and scale data infrastructure and applications to improve performance, reduce costs, and accommodate growing data volumes.

• Collaboration and Support: Work closely with data scientists, business analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Provide support for data-related technical issues.

• Innovation and Continuous Improvement: Stay abreast of new AWS features and technologies and explore innovative ways to enhance data architecture and operations for better efficiency and effectiveness.

What We’re Looking For (Qualifications)

• Technical Expertise: Proficient in AWS services relevant to data engineering, such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, and AWS Lambda. Strong programming skills in languages such as Python, SQL, and Java.
• Data Modeling and ETL Processes: Experience in data modeling, ETL (Extract, Transform, Load) development, and understanding of data warehousing concepts.
• Database Management: Knowledge of database management, performance tuning, and query optimization.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with the capacity to work on complex data systems.
•  Communication and Collaboration: Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Education and Experience:
•    A bachelor’s degree in computer science, Engineering, or a related field.
•    Previous experience as a data engineer or in a similar role, specifically with AWS cloud services.
Desired Certifications:
•    AWS Certified Data Analytics - Specialty.
•    AWS Certified Solutions Architect - Associate or Professional.
 

What We Offer

Why join us? We believe in taking care of our team. Here is a snapshot of our total rewards you can expect: 

● Health: Comprehensive medical, dental, and vision insurance. 

● Wellness: Employee Assistance Program, life insurance, and paid time-off

● Financial: RRSP matching, profit sharing and competitive wages

● Culture: Growth opportunities and continuous learning opportunities

Join us and become part of "Team Green" at GFL Environmental, where your skills and dedication will be valued and rewarded. Apply now for this exciting opportunity!


#GFLTalent


We thank you for your interest. Only those selected for an interview will be contacted.


GFL is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, please contact [email protected]
Please note that GFL does not provide visa sponsorship
 for this position. Valid work authorization in the country where the job is located is required. Successful candidates will be required to provide valid documentation confirming their eligibility to work in the country where the job is located prior to their start date.


This hiring process may utilize machine-based systems to assist in screening and assessing applicants. Final selection decisions are made by our recruitment team.


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