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Spark Technical Solutions Engineer

Posted 25 Mar 2024
Work experience
1 to 3 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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Mission

With your passion for helping customers, you will provide guidance and advice to address technical questions, product bugs, and complex architectural scenarios. You will be the voice of Databricks customers by providing feedback to our engineering and escalation teams. You are curious, empathetic, and committed to developing yourself and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a team of talented individuals from a variety of different backgrounds, perspectives, and experiences who will embody our company values.

Outcomes

  • Troubleshoot and resolve complex customer issues related to Spark or the Databricks platform in a timely manner through ownership and coordination with engineering and escalation teams.
  • Provide best practices guidance and support for custom-built solutions developed by Databricks customers.
  • Deliver proactive suggestions for improving performance and efficiency in customer-specific environments.
  • Deliver application level root-cause analysis, suggest code optimizations and assist with integrations.
  • Participate in the creation and maintenance of company documentation and knowledge articles.
  • Strengthen your Spark expertise through continuous learning and internal training programs.
  • Be a team player and coach other team members as needed
  • Participate in weekend and weekday on-call rotation.

Competencies

  • Prior experience designing, developing, testing, and sustaining Python or Java or Scala-based big data applications.
  • Proficiency with an object-oriented language like Scala, Python, or Java desirable.
  • Hands on experience in Kafka/Hadoop/Spark/Elastic search data pipelines or similar.
  • Previous experience with SQL-based database systems is preferred.
  • Strong Linux/Unix administration skills are strongly preferred.
  • Strong skills in Linux JVM, GC, Thread dump based troubleshooting preferred.
  • Hands-on experience with AWS or Azure related services is preferred.
  • Technical skills in Programming, data structures and algorithms is preferred.
  • Demonstrated analytical and problem-solving skills, particularly those that apply to a “Big Data” environment.
  • Excellent written and oral communication skills in English is required.
  • Bachelor’s degree in Computer Science or a related field.

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.

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.

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.

IT
Amsterdam
700 employees