Senior data platform engineer
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
At Lusha, we're building for builders. We build fast and AI-first, so we look for builders. By a builder, we mean someone who turns "maybe" into "done".
דרישות
- 5+ years hands-on building and operating large scale data pipelines, batch and streaming, in production
- Deep Spark and Databricks experience: Delta Lake, Unity Catalog, job and cluster tuning, Structured Streaming or DLT
- Streaming and CDC experience: Kafka (Confluent a plus), Debezium or equivalent, schema evolution and its failure modes
- Experience writing Airflow DAGs and operating the platform itself
- Expert Python and SQL, clean, tested, performant
- Strong data modeling and architecture judgment, with the ability to explain tradeoffs in scale, performance, and cost
- Infra literacy: comfortable with AWS (S3, IAM, networking basics), Terraform, Docker and Kubernetes, and CI/CD
- Proven experience leading cross-team technical initiatives end to end, from ambiguous ask to shipped and adopted
- Proven experience using AI coding tools daily, with LLM and agent tooling (MCP, embeddings, vector search) built into real workflows
- Elasticsearch at scale: indexing pipelines, cluster operations, reindex and rollout strategies (advantage)
- FinOps or cloud cost management for data platforms (advantage)
- Vault or similar secrets management, and Kubernetes operations beyond deploying your own service (advantage)