Data Engineer
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תקציר
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.
דרישות
- Production Data Engineering: 3+ years of experience building and operating data pipelines in production.
- SQL & Python: Strong hands-on skills in SQL and Python.
- Analytical Databases: Experience with a columnar or OLAP database such as ClickHouse, BigQuery, or Snowflake, and with data modeling at scale.
- Pipeline Orchestration: Experience with tools such as Airflow, DBT, or similar.
- Cloud Experience: Hands-on experience working with AWS.
- Ownership & Collaboration: A pragmatic approach, strong ownership, and the ability to work directly with both technical and non-technical stakeholders.
- (Advantage) Experience with Kubernetes, Prometheus, or observability data.
- (Advantage) Experience with vector databases and RAG pipelines.
- (Advantage) Experience integrating CRM or call intelligence data, such as Salesforce and Gong.
- (Advantage) Experience using LLM-based tools in data engineering workflows.