Software Development Engineer II (Big Data), HD Maps

08 Октября

Партнерские Вакансии

Город:

Минск

Занятость:

Полная занятость

Компания "МэпДэйта"

What You'll Do

  • Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications.

  • Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability.

  • Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products.

  • Work closely with engineering teams to align product development with strategic objectives.

  • 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.

  • Collaborate with business development teams to ensure that the product roadmap and design align with customer needs and market trends.

What We Believe are Important Traits for This Role

  • Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or a related field.

  • Proficiency in Python or other programming languages commonly used in data analysis and cloud application development.

  • Experience deploying algorithms within scalable cloud applications like AWS and Spark.

  • Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights.

  • Strong problem-solving skills with meticulous attention to detail.

  • Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams.

Nice to Have Traits for This Role

  • Prior experience in the mapping, navigation, or automotive industry.

  • Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.).

  • Knowledge of machine learning techniques for geospatial data analysis.

  • Contributions to open-source geospatial or data analysis projects.

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