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:<ul><li>Design, develop, and maintain scalable, real-time and batch data pipelines using AWS Glue, Lambda, Apache Spark, and Kafka.</li><li>Implement data lake architecture to ensure efficient data storage, processing, and retrieval.</li><li>Collaborate with cross-functional teams to understand data requirements and ensure the data infrastructure supports their needs.</li><li>Use Terraform to manage and provision infrastructure in a reproducible and scalable manner.</li><li>Optimize and troubleshoot complex data pipelines, ensuring high availability and performance.</li><li>Explore and integrate the latest technologies to enhance our data processing capabilities.</li><li>Work in a fast-paced, startup-like environment where you will take ownership of key projects and contribute to our overall data strategy.</li></ul>Technical Requirements:<ul><li>1-3 years of experience as an intermediate engineer with proficiency in AWS services.</li><li>Strong programming skills in python and SQL.</li><li>Strong experience with Apache Spark and Delta Lake for big data processing.</li><li>Expertise in using Terraform for Infrastructure as Code (IAAC).</li><li>Proficiency using standard DevOps tool such as Github, Azure DevOps, etc.</li><li>Experience with Kafka and real-time data streaming pipelines along with geospatial data processing and analysis will be good to have.</li></ul>Why Join Us?<ul><li>Work with complex and large datasets that will challenge and expand your skill set.</li><li>Be part of a startup-like environment where your ideas and contributions directly impact the company's success.</li><li>Take ownership of projects and have the autonomy to drive them from inception to completion.</li><li>Grow your career in a fast-paced environment with plenty of opportunities to learn and work with the latest technologies.</li><li>Collaborate with a passionate and innovative team that values your input and encourages professional growth.</li></ul>  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 <a href="mailto:myworkdayrecruitment@gflenv.com">myworkdayrecruitment@gflenv.com</a>

GFL Environmental is the only major diversified environmental services company in North America offering services in solid waste management, liquid waste management and soil remediation. Through a strategically located network of facilities across Canada the United States, GFL&rsquo;s dedicated, professional team of employees provides local service to more than 4 million households under municipal contracts and to more than 135,000 industrial, commercial and institutional customers. We offer an unparalleled commitment to customer service, reliability and efficiency and maintain an unwavering focus on safety and compliance with environmental and legislative requirements. At GFL, we believe that by providing accessible, cost-effective environmental solutions we will encourage greater environmental responsibility and allow our customers and the communities we serve to be Green For Life.

Data Engineer

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. &nbsp;Key Responsibilities:<ul><li>Design, develop, and maintain scalable, real-time and batch data pipelines using AWS Glue, Lambda, Apache Spark, and Kafka.</li><li>Implement data lake architecture to ensure efficient data storage, processing, and retrieval.</li><li>Collaborate with cross-functional teams to understand data requirements and ensure the data infrastructure supports their needs.</li><li>Use Terraform to manage and provision infrastructure in a reproducible and scalable manner.</li><li>Optimize and troubleshoot complex data pipelines, ensuring high availability and performance.</li><li>Explore and integrate the latest technologies to enhance our data processing capabilities.</li><li>Work in a fast-paced, startup-like environment where you will take ownership of key projects and contribute to our overall data strategy.</li></ul>Technical Requirements:<ul><li>1-3 years of experience as an intermediate engineer with proficiency in AWS services.</li><li>Strong programming skills in python and SQL.</li><li>Strong experience with Apache Spark and Delta Lake for big data processing.</li><li>Expertise in using Terraform for Infrastructure as Code (IAAC).</li><li>Proficiency using standard DevOps tool such as Github, Azure DevOps, etc.</li><li>Experience with Kafka and real-time data streaming pipelines along with geospatial data processing and analysis will be good to have.</li></ul>Why Join Us?<ul><li>Work with complex and large datasets that will challenge and expand your skill set.</li><li>Be part of a startup-like environment where your ideas and contributions directly impact the company's success.</li><li>Take ownership of projects and have the autonomy to drive them from inception to completion.</li><li>Grow your career in a fast-paced environment with plenty of opportunities to learn and work with the latest technologies.</li><li>Collaborate with a passionate and innovative team that values your input and encourages professional growth.</li></ul> &nbsp;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&nbsp;<a href="mailto:myworkdayrecruitment@gflenv.com">myworkdayrecruitment@gflenv.com</a>

Data Engineer

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GFL Environmental

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