Databricks AI Data Engineer

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Ascendion

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Azure Git Databricks CI Analytics AWS Delta Lake

Job Description

POSITION- Databricks AI Data Engineer

Location: REMOTE

EXPERIENCE: 5 to 10 years


JOB DETAILS:

5โ€“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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