Senior Big Data Solutions Engineer
hace 2 meses
Job Role Overview
We are seeking a highly skilled Senior Big Data Solutions Engineer to join our team at Databricks. As a member of our technical solutions team, you will be responsible for providing expert-level technical solutions for our customers’ most challenging issues related to Spark, ML, AI, Delta, Streaming, and Lakehouse.
- Troubleshoot and resolve complex Spark-related issues, including job slowness, data integration, and performance optimization.
- Collaborate with our customers to design and implement scalable and efficient data architectures using the Databricks Lakehouse Platform.
- Develop and maintain technical documentation, knowledge base articles, and best practices guidelines for our support team and customers.
- Participate in our Designated Solutions Engineer program and guide key customer accounts in resolving daily Spark and Cloud issues.
Requirements
To be successful in this role, you will need:
- 3+ years of hands-on experience developing Big Data, Hadoop, Spark, Machine Learning, and Artificial Intelligence industry use cases at production scale.
- Real-time experience in JVM and Memory Management techniques, including Garbage Collection and Heap/Thread Dump Analysis.
- Experience with SQL-based databases, Data Warehousing/ETL technologies, and cloud platforms (AWS, Azure, GCP).
About Databricks
Databricks is the data and AI company. Our platform, the Databricks Lakehouse Platform, is used by over 9,000 organizations worldwide, including Comcast, Condé Nast, and 50% of the Fortune 500. We are headquartered in San Francisco, with offices around the globe, and are committed to fostering a diverse and inclusive culture where everyone can excel.
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