Data Engineer

at  GFL Environmental

We are seeking a highly skilled Data Engineer with experience in designing and maintaining real-time data streaming pipelines and building robust data lake infrastructure and architecture. The right candidate will be excited by the prospect of optimizing and building data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable, real-time and batch data pipelines using AWS Glue, Lambda, Apache Spark, and Kafka.
• Implement data lake architecture to ensure efficient data storage, processing, and retrieval.
• Collaborate with cross-functional teams to understand data requirements and ensure the data infrastructure supports their needs.
• Use Terraform/Cloudformation to manage and provision infrastructure in a reproducible and scalable manner.
• Optimize and troubleshoot complex data pipelines, ensuring high availability and performance.
• Explore and integrate the latest technologies to enhance our data processing capabilities.
• Work in a fast-paced, startup-like environment where you will take ownership of key projects and contribute to our overall data strategy.
• (Optional) Leverage geospatial data and techniques to enhance our data analysis capabilities.

Technical Requirements:

• Proficient in AWS services, particularly Glue and Lambda.
• Strong experience with Apache Spark and Delta Lake for big data processing.
• Hands-on experience with Kafka and real-time data streaming pipelines.
• Expertise in using Terraform for Infrastructure as Code (IAAC).
• (Plus) Experience with geospatial data processing and analysis.

Why Join Us?

• Work with complex and large datasets that will challenge and expand your skill set.
• Be part of a startup-like environment where your ideas and contributions directly impact the company’s success.
• Take ownership of projects and have the autonomy to drive them from inception to completion.
• Grow your career in a fast-paced environment with plenty of opportunities to learn and work with the latest technologies.
• Collaborate with a passionate and innovative team that values your input and encourages professional growth.

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 myworkdayrecruitment@gflenv.co

• Design, develop, and maintain scalable, real-time and batch data pipelines using AWS Glue, Lambda, Apache Spark, and Kafka.
• Implement data lake architecture to ensure efficient data storage, processing, and retrieval.
• Collaborate with cross-functional teams to understand data requirements and ensure the data infrastructure supports their needs.
• Use Terraform/Cloudformation to manage and provision infrastructure in a reproducible and scalable manner.
• Optimize and troubleshoot complex data pipelines, ensuring high availability and performance.
• Explore and integrate the latest technologies to enhance our data processing capabilities.
• Work in a fast-paced, startup-like environment where you will take ownership of key projects and contribute to our overall data strategy.
• (Optional) Leverage geospatial data and techniques to enhance our data analysis capabilities