Mapbox Minsk R&D center (OOO MapData) enables navigation for people, packages and vehicles. Our underlying maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time.
On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark. We work on Mapbox's award-winning high-precision maps (“HD Maps”) products family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost and performance assessments.
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Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications.
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Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability.
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Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products.
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Work closely with engineering teams to align product development with strategic objectives.
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Engage in direct communication with trend-setting customers, automotive OEMs in EU, US, Japan, and China, as well as suppliers like automotive Tier 1 companies and Mapping firms.
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Collaborate with business development teams to ensure that the product roadmap and design align with customer needs and market trends.
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Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or a related field.
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Proficiency in Python or other programming languages commonly used in data analysis and cloud application development.
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Experience deploying algorithms within scalable cloud applications like AWS and Spark.
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Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights.
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Strong problem-solving skills with meticulous attention to detail.
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Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams.
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Prior experience in the mapping, navigation, or automotive industry.
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Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.).
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Knowledge of machine learning techniques for geospatial data analysis.
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Contributions to open-source geospatial or data analysis projects.
Ключевые навыки
- Big Data
- Python
- Spark
- AWS
- Английский — B2 — Средне-продвинутый
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Вакансия опубликована 21 февраля 2025 в Минске
