Job highlights

- Minimum 5 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 JVM,GC,Thread dump-based troubleshooting is required .

Mission As a 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 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 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 effective

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 competencies

Minimum 5 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 / 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

About Databricks

Databricks is the data and AI company

More than 10,000 organizations worldwide including Comcast, CondNast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow To learn more, follow Databricks on Twitter, LinkedIn and Facebook

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees For specific details on the benefits offered in your region, please visit https://www mybenefitsnow com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U

S government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

📌 Spark Backline Engineer (Bengaluru)
🏢 Databricks
📍 Bengaluru