Senior Backline Engineer at Databricks
Databricks
Elevate your technical expertise as a Senior Backline Engineer with Databricks, focusing on Data and AI. This role involves deep troubleshooting and optimizing large-scale systems to enhance customer satisfaction.
At Databricks, you will be a vital member of the Backline Engineering Team, bridging support and engineering efforts. With over 10 years of experience in Data Engineering, Product Supportability, or AI, you will tackle complex technical challenges. Your role aims to enhance product supportability while conducting detailed analyses and ensuring optimal performance across our advanced platform.
Key Responsibilities: • Conduct deep-dive troubleshooting in the Data and AI ecosystem • Perform root cause analysis using advanced profiling techniques • Optimize architectural performance for large-scale workloads • Drive product improvements through global issue analysis • Develop automated workflows and AI diagnostic tools
Requirements: • 10+ years of relevant experience in Data Engineering or AI • Expertise in Spark, Delta Lake, or similar technologies • Proficiency in Python, SQL, or Scala programming • Strong skills in diagnostic and performance optimization • Understanding of distributed systems and supportability aspects
Transform customer experiences by applying your engineering insights and fostering operational excellence at Databricks. #J-18808-Ljbffr
At Databricks, you will be a vital member of the Backline Engineering Team, bridging support and engineering efforts. With over 10 years of experience in Data Engineering, Product Supportability, or AI, you will tackle complex technical challenges. Your role aims to enhance product supportability while conducting detailed analyses and ensuring optimal performance across our advanced platform.
Key Responsibilities: • Conduct deep-dive troubleshooting in the Data and AI ecosystem • Perform root cause analysis using advanced profiling techniques • Optimize architectural performance for large-scale workloads • Drive product improvements through global issue analysis • Develop automated workflows and AI diagnostic tools
Requirements: • 10+ years of relevant experience in Data Engineering or AI • Expertise in Spark, Delta Lake, or similar technologies • Proficiency in Python, SQL, or Scala programming • Strong skills in diagnostic and performance optimization • Understanding of distributed systems and supportability aspects
Transform customer experiences by applying your engineering insights and fostering operational excellence at Databricks. #J-18808-Ljbffr
Reference: WJ-3875_13978088