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Mission
As a Software Engineer on the Spark Benchmarking team at Databricks, you are responsible for ensuring that the Databricks Runtime is the world’s best Spark execution environment in terms of performance and scalability. You will be part of the team that is continuously improving the methodology and benchmarking infrastructure, helping to increase the frequency of the releases while maintaining high quality and performance standards. Continuously improving performance is an increasingly challenging job given the high volume of commits that go into a release. In order to meet this challenge, your team will continuously increase the level of automation and provide powerful benchmarking tools to evaluate the performance impact of each change. Engineers on the Spark Benchmarking team also drive the Databricks runtime performance sign-off process, they are the gatekeepers making sure that all performance regressions are addressed before a new version is released.
Outcomes
Competencies
About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell, and HP. For more information, visit www.databricks.com.
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
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