Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 2+ years of industry experience working on commercial or open-source software.
The position requires the ability to work on-site in the Berlin office.
Key skills include fluency in C++, familiarity with Linux development, excellent problem-solving with strong CS fundamentals in data structures, algorithms, and distributed systems, plus systems programming skills like multi-threading and concurrency.
Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to reach their full potential while building big, moving fast, and advancing technology and careers.
A Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, or related field is required; a Masters or PhD is preferred.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.