P1381
As a Sr. Apache Spark Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team.
What your impact will be:
- Troubleshoot resolve and suggest deep codelevel analysis of Spark to address complex customer issues related to Spark core internals Spark SQL Structured Streaming and Databricks Delta.
- Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custombuilt solutions developed by Databricks customers.
- Help the support team with detailed troubleshooting guides and runbooks.
- Contribute to automation and tooling programs to make daily troubleshooting efficient.
- Work with the Spark Engineering Team and spread awareness of upcoming features and releases.
- Identify Spark bugs and suggest possible workarounds.
- Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
- Participate in weekend and weekday on call rotation.
What we look for:
- 6 years of industry experience developing testing and sustaining Python or Java or Scalabased applications.
- Comfortable with compiling building and navigating the Spark source code.
- Comfortable with identifying and applying patches/bug fixes to the Spark source code.
- Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines.
- Handson experience with SQLbased database systems.
- Experience in JVM GC Thread dumpbased troubleshooting is required.
- Experience with AWS or Azure related services.
- Bachelors degree in Computer Science or a related field is required.
Required Experience:
Senior IC