Related skills
java aws snowflake python scala📋 Description
- Perform advanced troubleshooting and root cause analysis for Spark/SQL/Delta issues.
- Define monitoring requirements to detect early issues with R&D and NOC teams.
- Build rapid PoCs and deploy/monitor Spark/ML/AI solutions for customers.
- Develop playbooks and a knowledge base for Spark, ML, and AI workflows.
- Train teams on performance tuning and debugging Databricks features.
- Pilot new best practices and collaborate cross-functionally to improve the customer experience.
🎯 Requirements
- Technical Expertise in Big Data and Spark: 8–12 years designing distributed apps; 4+ years delivering Spark/ML/AI in production (Python/Java/Scala).
- Data Engineering Specialization: Data Lakes, SQL databases, and cloud warehousing/ETL tools (Snowflake, Redshift, BigQuery).
- Advanced Tech Skills: Spark core, Delta/Iceberg, JVM optimization, memory management; ML/AI ecosystems.
- Cloud and CI/CD Skills: AWS/Azure/GCP and CI/CD pipelines, monitoring, and alerts.
- Customer-Facing Experience: 3–5 years in TAM/Solutions Architect roles with strong communication.
- Advanced Proactive Problem Solving: Proactive risk mitigation and production-ready solution planning.
🎁 Benefits
- Comprehensive benefits for all employees; region-specific details linked in posting.
- Pay transparency information and compensation details per region.
- Inclusive, diverse culture with equal opportunity for all candidates.
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