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Sr Backline Engineer
4 weeks ago
As a 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.
Outcomes
Troubleshoot, resolve and suggest deep code-level analysis of Apache Spark™
to address complex customer issues related to Apache Spark™ core internals, Apache Spark™ SQL, Structured Streaming and Databricks Delta.Provide best practices guidance around Apache Spark™ runtime performance and usage of Apache Spark™ core libraries and APIs for custom-built 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 Apache Spark™Engineering Team and spread awareness of upcoming features and releases.Identify Apache Spark™ bugs and suggest possible workarounds.Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requestsParticipate in weekend and weekday on call rotation.
Competencies
Minimum 8 years'
experience
developing ,
testing , and
sustaining Python
or
Java
or
Scala -based applications.Comfortable with compiling, building and navigating the Apache Spark™ source code.Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code.Experience in Big Data/Hadoop/Apache Spark™/Kafka/Elasticsearch
data pipelines.Hands-on experience with SQL-based database systems.Experience in JVM, GC, Thread dump-based troubleshooting is required.Experience with AWS or Azure related services.Bachelor's degree in Computer Science or a related field is required.
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