P-993; This role is based in São Paulo and it's a hybrid 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 customer’s 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, Spark,Machine 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
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, 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.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
