Who we are

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.   Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.   Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer to develop and maintain new Machine Learning platforms. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

The Senior Data Platform Developer supports the existing big data infrastructure on Google Cloud Platform Google BigQuery ensuring data is continuously and promptly available for analysis by the data science team. This position will devise new methodologies and infrastructure for reconstructing and enriching data at scale, while supporting internal users who leverage the big data environment to upload additional data sets.The Senior Data Platform Developer collaborates with team leads and other developers to design and implement the Big Data infrastructures on cloud at Geotab.

How you'll make an impact

• Design, implement, and maintain new data infrastructure platforms managing the data ingestion, digestion, and stream processing of Geotab’s internal data lake. 
• Design, implement, and maintain logging, monitoring, and alerting services to ensure the health of Geotab’s big data infrastructure.
• Perform quality assurance analysis by performing peer review, ensuring coding standards are followed, looking for performance improvement, and bug fixes.
• Analyze call stacks, trace files, and performance data to troubleshoot and identify root cause of bugs.
• Assist with the development and maintenance of data engineering guidelines, policies, standards and processes.
• Mentor other team members toward technical expertise.
• Participate in a 24x7 on-call rotating schedule.

What you'll bring to the role

• Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
• 5+ years experience in Data Engineering or a similar role. 
• 5+ years experience in developing production-level systems using Python and Flask web framework.
• 3+ years experience in developing production-level systems using Javascript (including TypeScript or a modern JavaScript framework like React, Vue.js, or Angular).
• 3+ years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
• Experience with open-source software customization and management is a plus.
• Knowledge of Apache SuperSet or other BI Platform is a plus.
• Knowledge of data management fundamentals and data storage principles.
• Experience with API design and implementation.
• Familiar with Big Data environments (e.g. Google BigQuery).
• Excellent oral and written co