3 months ago
Berlin, GermanyEntry Level
Responsibilities
- Design and implement scalable, high-throughput data processing systems.
- Build and maintain real-time and batch data pipelines.
- Collaborate with product, infrastructure, and data science teams.
- Contribute to architectural decisions and technical roadmaps.
- Write clean, tested, production-quality code at scale.
- Operate large-scale distributed data systems powering Snowflake’s core platform.
Requirements
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- Strong foundation in distributed systems, algorithms, and data structures.
- Proficiency in Java, Scala, Python, or C++.
- Experience with large-scale data systems or cloud platforms.
- Experience with Apache Flink and/or Apache Spark is strongly desirable.
- Familiarity with AI-augmented development using LLMs or Copilot tools is strongly desirable.
- Experience with Kafka, data lakehouse architectures, or SQL engines is strongly desirable.
Tech Stack
Categories
BackendData Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.