Senior Data Platform Developer, AI Platform

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 . 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 support our big data infrastructure on Google Cloud 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 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. How you'll make an impact • Develop and maintain new data infrastructure platforms managing the data ingestion, digestion, and stream processing of Geotab’s internal data lake. • Develop processes to enrich Geotab’s big data with telematics data at scale. • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s big data infrastructure. • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives. • Create and maintain documentation for architecture, requirements, and process flows. • Support internal Geotab teams to assist with data integration with newly developed big data platforms. • Participate in a 24x7 on-call rotating schedule (if applicable). What you'll bring to the role • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field. • 1-5 years experience in Data Engineering or a similar role. • 1-5 years experience in developing production-level systems using Java and Spring framework. • 1-3 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift. • Knowledge of Apache Kafka, Apache Flink, Apache Ignite, Apache Airflow, Apache SuperSet, Apache Olingo, and DataHub is a big plus. • Knowledge of gRPC, Protobuf, Apache Avro, Apache Beam is a plus. • Knowledge of data management fundamentals and data storage principles. • Knowledge of b