Développeur de Données Sénior - Senior Data Engineer

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July 5

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Unity

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Gaming • Software Development • Education

Unity is a leading platform providing tools and services for creators to build games, apps, and immersive experiences. With high-quality graphics, multi-platform support, and AI enhancements, Unity empowers developers in video gaming and other industries like manufacturing. Unity offers services such as Unity Engine, Unity Cloud, and Unity Grow, which include real-time 3D creation, user acquisition, and game monetization. The company also provides extensive resources, community support, and professional training for creators at all levels. Through its success plans and developer resources, Unity aids in solving complex problems and bringing ideas to life for gaming and enterprise professionals.

5001 - 10000 employees

Founded 2005

🎮 Gaming

📚 Education

📋 Description

• Design, implement, and continuously improve robust and scalable data pipelines for machine learning, with a particular emphasis on supporting advanced Deep Learning models. • Collaborate closely with machine learning engineers, data scientists, and other cross-functional teams to understand business requirements and translate them into effective data solutions, models, and algorithms. • Manage the full lifecycle of large-scale data sets, including collection, storage, processing, and optimization for machine learning applications. • Develop and maintain a reliable data infrastructure capable of supporting both real-time and batch data processing. • Stay current with industry trends and advancements in AdTech, data engineering, and machine learning, implementing best practices to elevate our capabilities. • Mentor junior data engineers and contribute to a culture of technical excellence, innovation, and shared learning. • Ensure all data engineering practices and machine learning initiatives adhere to data privacy and compliance standards.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. • Minimum of 5 years of experience in data engineering, with a significant focus on building systems and pipelines for machine learning models, preferably in the AdTech industry. • Proficient in programming languages such as Python, Scala, or Java. • Solid experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS). • Strong knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch), and practical experience with the deployment of ML models at scale. • Demonstrated ability to own and deliver complex data engineering projects and to collaborate effectively within cross-functional teams. • Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

🏖️ Benefits

• Relocation support is not available for this position. • Work visa/immigration sponsorship is not available for this position