Description
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Platform Developer who will support the existing big data infrastructure on Google Cloud Platform ensuring data is continuously and promptly available for analysis by the data science team. 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, orchestration and applications.
- 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.
What you’ll bring to this role:
- Bachelor's or Master's degree in Computer Science, Software or Computer Engineering.
- 5 - 8 years experience in Software Engineering, Data Engineering or a similar role.
- Relevant experience in developing production-level systems using C# with .Net framework.
- Practical experience with API design and implementation.
- Experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes or OpenShift.
- Knowledge of data management fundamentals and data storage principles.
- Knowledge of gRPC, Protobuf, Apache Avro, Apache Beam is a plus.
- Knowledge of Apache Kafka, Apache Flink, Apache Ignite, Apache Airflow, Apache SuperSet, Apache Olingo, and DataHub is a big plus.
- Knowledge of batch and streaming data architectures.
- Familiar with Big Data environments (e.g. Google BigQuery).
Geotab
Analytics
Big Data
Fleet Management
Information Technology
Internet
Mobile Devices
Software
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