We’re hiring talented Senior Software Engineers to help build the foundation of this new team! The initial focus of the Berlin office will be working on the core query optimization and distributed query and data processing engine, specifically, supporting faster parallel query execution. This will enable Snowflake customers to build new workloads and data-intensive apps on top of Snowflake. This role is a unique opportunity to build a new team to up to 20 engineers in the first two years and make a significant impact to our elastic, large scale, high-performance computing environment.

Why join the engineering team at Snowflake? Building new enterprise technologies is complex, and our engineering team surmounts the obstacles. 


As a member of our team, you will:

  • Build an industry-leading data management system that customers love.
  • Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
  • Learn about and contribute to:
  • Super-robust and secure enterprise SaaS platform that services hundreds of customers and millions of complex queries daily.
  • Highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines.
  • User interfaces bridging the enterprise world with the consumer experience.
  • Join a world-class team of both industry veterans and rising stars.

Very well
HadoopSparkSQLC ++ / C / Java

AS A QUERY PROCESSING ENGINEER AT SNOWFLAKE YOU WILL:

  • Identify and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities.
  • Analyze and understand performance and scalability bottlenecks in the system and solve them.
  • Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.
  • Design, Develop, and Support a highly-parallel and fault-tolerant database system comprised of many technologies.
  • Deal with issues from logical representation of the execution plan to efficient resource management, all the way down to highly specialized vectorized execution.
  • Evaluate and determine priorities with a critical understanding of where performance matters and where performance is irrelevant.

OUR IDEAL QUERY PROCESSING ENGINEER WILL HAVE:

  • 5+ years hands-on software engineering experience.
  • Background in database internals or building core components for large scale data processing systems (i.e. Hadoop, Spark)  especially query execution/processing, and/or optimization.
  • Strong database fundamentals including SQL, performance, multi-threading, and schema design.
  • Strong CS fundamentals including data structures, algorithms, and distributed systems.
  • Systems programming skills including multi-threading, concurrency, etc. Fluency in C++, C, or Java preferred.
  • Experience using big data storage technologies and their applications (HDFS, Cassandra, Columnar Databases, etc.)
  • Track record of identifying and implementing creative solutions.
  • Track record working with data from multiple sources.
  • BS in Computer Science; Masters or PhD Preferred.
  • Fluency in English.

Snowflake

Berlin
+3000

Snowflake delivers the Data Cloud—a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.