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Data Engineer

ScaleOps labs · Tel Aviv · Posted 3 hours ago

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Summary

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%.

Requirements

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.