Описание
The project focuses on observability and embedded analytics for an automotive client. It aims to establish a scalable, maintainable data foundation that transforms logs, events, measurements, and telemetry from embedded, cloud, test, and application systems into trusted, reusable data products.
Задачи
•Design and implement the target data architecture and production data foundation
•Build and maintain robust, automated data pipelines and transformations
•Develop shared data models, schemas, and analysis-ready datasets
•Implement data orchestration, data-quality controls, monitoring, and lineage
•Integrate data from embedded, cloud, test, and application systems using APIs and other data interfaces
•Improve platform reliability, scalability, performance, and maintainability
•Support analytical use cases while keeping the underlying data platform reusable
•Produce operational documentation and support knowledge transfer to client teams
Требования
•Strong experience designing and operating production-grade data platforms and pipelines
•Strong Python and SQL skills
•Experience with cloud-based data solutions
•Strong knowledge of data modelling, schemas, and transformations
•Experience with data orchestration and automated workflows
•Experience integrating systems through APIs
•Experience with data quality, pipeline monitoring, and observability
•Experience with version control and production engineering practices
•Understanding of data security, privacy, and access control
•English C1 Advanced
Будет плюсом
•Automotive, connected-car, or embedded-systems experience
•Telemetry, event, and time-series data
•Data lineage and governance
•Supporting dashboards and analytical platforms
•Optimising data platforms for performance and cost
Условия
Условий в вакансии нет
