Related skills
java aws python gcp scala📋 Description
- Triage and resolve complex Spark/SQL/Delta issues for DNB customers.
- Collaborate with Field and Engineering teams to deliver tailored solutions.
- Develop rapid PoCs and monitor deployments for customer environments.
- Create playbooks and knowledge base for Spark, ML, and AI workflows.
- Train customer teams in performance tuning and debugging best practices.
- Partner cross-functionally to drive fast, high-quality customer outcomes.
🎯 Requirements
- 8–12 years in distributed computing; 4+ years Spark/ML/AI in production (Python/Java/Scala).
- Data Engineering: Data Lakes, SQL DBs, and cloud warehousing/ETL (Snowflake/Redshift/BigQuery).
- Deep Spark core internals, Delta/Iceberg, JVM memory optimization; ML/AI ecosystems.
- Cloud and CI/CD: AWS, Azure, or GCP; pipelines, monitoring, and alerting.
- 3–5 years customer-facing experience (TAM or Solutions Architect) with strong communication.
- Proactive problem solving; risk mitigation; cross-functional leadership and docs.
🎁 Benefits
- Comprehensive benefits and regional perks.
- Opportunities for professional development and career growth.
- Collaborative, inclusive culture with diverse teams.
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