Senior Software Developer - Data Engineering
Geotab
Oakville, ON, Canada
1d ago

Who is Geotab : Geotab, a global leader in IoT and connected transportation, is one of the fastest-growing technology companies in North America and a certified Great Place to Work.

Each day, Geotab processes billions of data points from over 2 million connected vehicles, extracting actionable insights to help empower businesses to better manage their fleets.

Recognized as the world’s #1 commercial telematics provider, Geotab’s solutions are used by more than 40,000 customers in over 130 countries around the globe.

Geotab understands that telematics is critical to helping create safer and more sustainable drivers, businesses and communities and actively works to help businesses improve driver behavior, reduce greenhouse gas emissions and create safer roads for all.

Global demand for telematics is increasing and Geotab is leading the way. Are you ready to join us? To see what it’s like to be a Geotabber, follow us InsideGeotab on Instagram, Twitter or Facebook today!Who we are looking for : We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe.

And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers and communities.

Our fast-growing, industry best Data and Analytics team is looking to hire a Senior Software Developer who is passionate about building big data infrastructure for large scale and fast-growing datasets and help our team solve real-world problems.

What are the details of this position : 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 ingestion pipeline, consumption API and stream analytics infrastructure for over 5 billion raw and 50 billion processed records by over 2 million vehicles across 7 continents on a daily basis.

You will work collaboratively to recommend, prototype, build and debug data infrastructures on Google Cloud Platform (GCP).

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 have a strong understanding around the importance of system reliability and performance and how to tune it to the better.

If you love working with big data, are excited about working in a cutting edge, open source data technologies and software paradigms and are keen to join an industry leader we would love to hear from you!

Duties and tasks / essential functions :

  • 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’s Data Enablement Program roadmap
  • Oversee at least one component of the enterprise data ingestion pipeline / data API within the organization's Big Data platform
  • 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, also mentor and train team members as needed
  • Offer Project delivery support, monitoring and reporting as required
  • Research, development and delivery of Data Engineering’s reliability model and framework
  • Oversee the collection and analysis of key metrics and reporting dashboards to monitor enterprise data platform performance and reliability
  • Support the development and maintenance of data engineering guidelines, policies, standards and process narratives for in-scope business functions
  • Experience / Skills Required :

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or other related degree
  • 3+ years of programming experience in core Java / C# with solid understanding of the Software Development Life Cycle
  • 3+ years of production experience with large scale distributed system such as Hadoop and Kafka
  • Deep understanding of large scale distributed systems, design patterns, and object-oriented design principles with good component and modeling ability
  • Hands-on experience in data engineering with a track record of manipulating, processing, and extracting value from large datasets in production
  • Solid understanding and experience with any of the relational databases (MySQL, Postgres, SQLServer etc)
  • Experience with Apache Kafka, Apache Airflow, Google Cloud Platform and Google BigQuery
  • Experience implementing and using streaming platforms such as SparkSQL, Flink, Storm etc
  • Experience with Linux, Docker and Kubernetes is nice to have
  • Experience with CI / CD and Behavior Driven Development is nice to have
  • What makes our staff passionate about Geotab?Table Tennis at the office - bring your own bat!Great accommodation (brand new office building, height-adjustable desks)Light breakfast served dailyHot lunches or fresh sandwiches served every FridayGeotab-sponsored sports teams and social eventsFull medical benefits and 4% company matching RSP (full-time employees only)Our Core Values : Geotab is shaping the future of telematics.

    Using leading technology, we embrace change and challenge the status quo. To stay ahead of the curve, we keep Geotabbers energized with data bootcamps, course subsidies, Friday lunches, and more.

    We believe collaboration leads to innovation; our teams stretch across floors, cities and continents. All employees, from the CEO to the summer students, maintain an open-door policy.

    Whether we’re fine-tuning our products, or boosting our office culture, we’re building a foundation for long-term success.

    To us, this means safer roads, more efficient fleets and a team of dynamic Geotabbers!Geotab encourages applications from all qualified candidates.

    Geotab is committed to accommodating persons with disabilities throughout the interview, selection and employment process.

    If you require accommodation at any stage of the application process or want more information about our accommodation policies and practices

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