Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
The Data Sharing team builds software that connects customers via data and provides customers access to the Data Cloud. The team builds the revolutionary Data Sharing technology and Snowflake Data Marketplace infrastructure.
As an Engineering Manager in the Data Sharing team, you will lead and grow the team in San Mateo, CA. Together with our industry experts in databases and distributed systems, you will evolve our highly distributed infrastructure to the next generation of software that enables organizations to build assets with their data and realize values in today’s Data Cloud.
OUR IDEAL ENGINEERING MANAGER - DATA SHARING, WILL HAVE:
ABOUT DATA SHARING:
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake Inc. is a cloud computing-based data warehousing company based in Bozeman, Montana. It was founded in July 2012 and was publicly launched in October 2014 after two years in stealth mode. The company's name was chosen as a tribute to the founders' love of winter sports. The firm offers a cloud-based data storage and analytics service, generally termed data warehouse-as-a-service. It allows corporate users to store and analyze data.
Amsterdam, Netherlands
2-4 year
Munich, Germany
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New York, NY, USA
2-4 year