Databricks AI Data Engineer
Ascendion
POSITION- Databricks AI Data Engineer Location: REMOTE EXPERIENCE: 5 to 10 years JOB DETAILS: 5–8 years of experience in data engineering or analytics engineering. Hands-on experience with Databricks Lakehouse Platform. Experience developing Databricks notebooks and workflows. Working knowledge of: Delta Lake, Unity Catalog, Data modeling basics Hands-on exposure to LLM-enabled or agentic AI use cases. Experience with prompt engineering and AI-driven data interaction. Familiarity with Databricks Genie or similar conversational analytics tools. Understanding of semantic layers and analytics-ready datasets. Experience with Databricks on either AWS, Azure, or GCP platforms. Strong proficiency in Python and SQL queries, views. Experience to develop code with Git, version control, and CI/CD practices. Understanding of job scheduling, monitoring, and logging. Databricks certification is a plus
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