Senior Technical Solutions Engineer - Spark
Senior Technical Solutions Engineer - Spark
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Job Description
P-993; This role is based in So Paulo and its ahybrid role; 2-3 days in the office.
As a Spark Technical Solutions Engineer you will provide a deep dive technical and consulting
related solutions for the challenging Spark/ML/AI/Delta/Streaming/Lakehouse reported issues
by our customers and resolve any challenges involving the Databricks unified analytics
platform with your highly comprehensive technical and customer communication skills. You
will assist our customers in their Databricks journey and provide them with the guidance
knowledge and expertise that they need to realize value and achieve their strategic objectives
using our products.
The Impact You Will Have
- Performing initial level analysis and troubleshooting issues in Spark using Spark UI
metrics DAG Event Logs for various customer reported job slowness issues. - Troubleshoot resolve and suggest deep code-level analysis of Spark to address
customer issues related to Spark core internals Spark SQL Structured Streaming
Delta Lakehouse and other databricks runtime features. - Assist the customers in setting up reproducible spark problems with solutions in the
areas of Spark SQL Delta Memory Management Performance tuning Streaming Data
Science Data Integration areas in Spark. - Participate in the Designated Solutions Engineer program and drive one or two of
strategic customers day to day Spark and Cloud issues. - Plan and coordinate with Account Executives Customer Success Engineers and
Resident Solution Architects for coordinating the customer issues and best practices
guidelines. - Participate in screen sharing meetings answering slack channel conversations with
our internal stakeholders and customers helping in driving the major spark issues at
an individual contributor level. - Build an internal wiki knowledge base with technical documentation manuals for the
support team and for the customers. Participate in the creation and maintenance of
company documentation and knowledge base articles. - Coordinate with Engineering and Backline Support teams to provide assistance in
identifying reporting product defects. - Participate in weekend and weekday on-call rotation and run escalations during
databricks runtime outages incident situations ability to multitask and plan day 2 day
activities and provide escalated level of support for critical customer operational
issues etc.
What we look for:
- Min 6 years of experience in designing building testing and maintaining
Python/Java/Scala based applications in typical project delivery and consulting
environments. - 3 years of hands-on experience in developing any two or more of the Big Data
Hadoop SparkMachine Learning Artificial Intelligence Streaming Kafka Data
Science ElasticSearch related industry use cases at the production scale. Spark
experience is mandatory. - Hands on experience in the performance tuning/troubleshooting of Hive and Spark
based applications at production scale. - Proven and real time experience in JVM and Memory Management techniques such as
Garbage collections Heap/Thread Dump Analysis is preferred. - Working and hands-on experience with any SQL-based databases Data
Warehousing/ETL technologies like Informatica DataStage Oracle Teradata SQL
Server MySQL and SCD type use cases is preferred. - Hands-on experience with AWS or Azure or GCP is preferred
- Excellent written and oral communication skills
- Linux/Unix administration skills is a plus
- Working knowledge in Data Lakes and preferably on the SCD types use cases at
production scale. - Demonstrated analytical and problem-solving skills particularly those that apply to a
Distributed Big Data Computing environment.
#LI-DC
#LI-Hybrid
Required Experience:
Senior IC
Employment Type
Full Time
