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java aws python scala ci/cd📋 Description
- Troubleshoot Spark/SQL/Delta/Streaming issues; perform root-cause analysis with Spark UI.
- Define monitoring requirements with R&D and NOC to optimize DNB environments.
- Build rapid POCs and deploy/monitor Spark/ML/AI runtime solutions.
- Create playbooks and a knowledge base for Spark, ML, and AI workflows.
- Train customers on performance tuning, debugging, and Databricks features.
- Pilot best practices programs and drive cross-functional improvements.
🎯 Requirements
- 5–8 years designing, building, and troubleshooting distributed apps.
- 4+ years delivering Spark/ML/AI production solutions with Python/Java/Scala.
- Data lakes, SQL databases, and Snowflake/Redshift/BigQuery experience.
- Deep Spark core, Delta/Iceberg, JVM optimization, and memory management knowledge.
- Cloud and CI/CD: AWS/Azure/GCP; pipelines, monitoring, and alerts.
- 3–5 years in customer-facing roles (TAM/solutions) with strong communication.
🎁 Benefits
- Comprehensive benefits; region-specific details available.
- Growth opportunities in data and AI platforms.
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