Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.
We are working on the Platform which provides the next generation of location based services intelligence. With every connected IoT device or sensor capable of generating and sharing location data, the Platform helps to make better use of that data and transform it into useful services for people and organizations all in real-time. The Platform is meant to become the go-to destination for location services, supporting not only autonomous vehicles but smart cities and intelligent transportation systems too.
Being connected to the Platform's cloud services, intelligent in-vehicle devices can see around the corner to track and respond to the potential dangers as well as perform real-time changes to maps data shared with other connected devices within a large IoT ecosystem.
You will be tasked with tests automation of the mission-critical components within Platform's Core Services which provide the foundation for running complex data pipelines at scale through data management, processing and distribution services and APIs. Data management services include data discovery, ingestion, streaming of vehicle sensor data, extraction, storage and archiving, publishing, schema and pipeline management. The services employ performant data processing and storage tools (Flink, Spark, Kafka, Cassandra), scale across Amazon Web Services and offer REST APIs to high-order consumers.
Nice to have: