Data Platform Developer
Oakville, Ontario - Canada
Geotab
Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a 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 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. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.
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.
- 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 with Python 3.
- 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 batch and streaming data architectures.
- Experience with API design and implementation.
- Familiar with Big Data environments (e.g. Google BigQuery).
- Excellent oral and written communication skills.
- Strong analytical skills with the ability to problem solve well-judged decisions.
- Highly organized and able to manage multiple tasks and projects simultaneously.
- Strong team player with the ability to engage with all levels of the organization.
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture Avro Big Data BigQuery Computer Science Data Analytics Data management Docker Engineering Flink GCP Google Cloud Kafka Kubernetes Machine Learning Privacy Python Security Streaming Superset
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Team events
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