Data Engineer

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.

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 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.

• 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.

• 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 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.

• A bachelor’s degree in computer science, engineering, or a…