Java Programming, Python Programming, Azure, AWS, Data science techniques, Google Cloud Platform (GCP), AI technology
As a Senior Technical Solutions Engineer, you provide technical support for Spark Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You assist customers in their Databricks journey and provide them with the guidance and expertise that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem.
The impact you will have:
What we look for:
Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.
United States
2-4 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Mumbai, Maharashtra, India
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
Washington D.C., DC, USA
6-8 year
Los Angeles, CA, USA; Portland, OR, USA; Sacramento, CA, USA; San Diego, CA, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
0-2 year
Bengaluru, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
2-4 year
Amsterdam, Netherlands
0-2 year