---
title: "Announcing the Databricks analytics engineer learning pathway"
url: https://daily.dev/posts/announcing-the-databricks-analytics-engineer-learning-pathway-cqxwlskph
source_url: https://www.databricks.com/blog/announcing-databricks-analytics-engineer-learning-pathway
type: article
source: "databricks"
published: 2026-05-18T16:58:35.368Z
updated: 2026-05-18T16:58:54.407Z
tags: ["sql", "databricks", "etl"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# Announcing the Databricks analytics engineer learning pathway

**[databricks](https://daily.dev/sources/databricks)** · 4 min read · 0 upvotes · 0 comments

## Summary

Databricks has launched an Analytics Engineer Learning Pathway on Databricks Academy, targeting SQL practitioners who want to build governed, AI-ready data foundations. The curriculum includes six hands-on courses covering analytics fundamentals, data modeling strategies, SQL ETL pipelines using Materialized Views and Streaming Tables, semantic models with Unity Catalog Metric Views, conversational agents with Genie, and declarative Spark pipelines. Courses are available in self-paced and instructor-led formats and are included with any active Databricks Learning Subscription.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/announcing-databricks-analytics-engineer-learning-pathway>

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---

Tags: [#sql](https://daily.dev/tags/sql), [#databricks](https://daily.dev/tags/databricks), [#etl](https://daily.dev/tags/etl)

[View this post on daily.dev](https://daily.dev/posts/announcing-the-databricks-analytics-engineer-learning-pathway-cqxwlskph)
