Über
Lead customer engagements from discovery to delivery with full ownership Architect, implement, and optimize large-scale Spark/Databricks workloads Design and execute PoCs and workshops to demonstrate solutions and inspire confidence
Required Qualifications
5-10 years in data engineering or analytics solution delivery 3+ years of hands-on expertise with Databricks, including job optimization and debugging Deep understanding of Spark Internals, PySpark, and Databricks SQL performance tuning Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure Proven ability to identify and solve complex technical problems with minimal oversight
Sprachkenntnisse
- English
Hinweis für Nutzer
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