Senior Software Developer - Data Platform


Permanent - Full Time

Area of Interest:

Data & Analytics


Toronto, ON, Canada

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 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, Twitter or Facebook.

Who you are

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a self-starter and solutions-oriented individual who is passionate about data infrastructures for large scale and fast-growing datasets, including data ingestion, data consumption and processing, to join our Data and Analytics team as a Senior Big Data Developer Specialized in the DaaS platform. We are looking for someone who enjoys challenging and meaningful work while maintaining a healthy work life balance.

What you'll do

The successful candidate will work within the Data Engineering Team of Geotab's Data and Analytics department. This team is responsible for the delivery of Data as a Service platform, data ingestion pipeline and streaming analytics infrastructures for over 5 billion raw and 50+ billion processed records by over 2 million vehicles across 7 continents on a daily basis. To be successful in this role, you will be an individual who is passionate about software designing and developing, with a willingness to develop your analytical skills related to the implementation of Big Data solutions. In addition, the successful candidate will have a keen attention to detail and perfection, and have a strong understanding around the importance of system reliability and performance and how to tune it to the better. As senior member in the team, you will be working with team leads and other developers to design and implement the Big Data infrastructures on cloud at Geotab If you love working with big data, are excited about working in a team-driven environment, and are keen to join an industry leader — we would love to hear from you!

How you'll make an impact
  • Design and implement the data infrastructure platforms including the data ingestion, data consumption and stream processing on Google cloud.

  • Contribute to the design, development and delivery of the team projects’ roadmap.

  • Interact with project owners, data engineering team leads and related internal customers to collect and document technical requirements.

  • Drive and take responsibility for the quality of the development and delivery.

  • Research and assess technology environment and trend for best practises to apply.

  • Prepare detailed component design and development plan, present them in the design review meeting.

  • Implement approved design following industry best practises and with high quality standard.

  • Oversee the collection and analysis of key metrics and reporting dashboards to monitor enterprise data platform performance and reliability.

  • Project delivery support, monitoring and reporting as required.

  • Support the development and maintenance of data engineering guidelines, policies, standards and process narratives for in-scope business functions.

  • Mentor other team members toward technical expertise.

What you'll bring to this role
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or other related degree.

  • 5+ years hands-on experience in Data Engineering with 2+ years experience in developing production-level systems using Java frameworks such as Spring, JUnit etc.

  • 2+ years of experience in designing, building and maintaining production-level of large scale distributed system with Docker, Kubernetes, Kafka and Spark.

  • Practical experience in core Java and Sprint Boot with solid understanding of the Software Development Life Cycle

  • Deep understanding of large scale distributed systems (theory and practical experience), design patterns, and object-oriented design principles.

  • Familiar with various design patterns, good components and modeling ability.

  • Experience with CICD and Behavior Driven Development.

  • Experience with Google Cloud Platform, Google BigQuery, Snowflakes or AWS services.

  • Experience implementing and using serverless platforms such as Google Cloud Function, Google Cloud Run, Amazon Fargate, Amazon Lambda or similar.

  • Experience with reliability assurance of large-scale distributed systems.

  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering.

  • Highly self-motivated in pursuing better technical solutions.

  • Must demonstrate strong communication and collaboration skills to partner effectively with teams throughout the organization.

  • Solid understanding and experience with any of the relational databases (MySQL, Postgres, SQLServer etc).

  • Knowledge of data management fundamentals and data storage principles.

  • Knowledge of batch and streaming data architectures.

How we work

At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. 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 Click here to learn more about what happens with your personal data.

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