Ascendion
Databricks AI Data Engineer
Job Description
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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