Snowflake
Snowflake Data Engineering Professional Certificate
3,099 enrolled
Top instructor
Snowflake

Snowflake Data Engineering Professional Certificate

Build Modern Data Engineering Pipelines. Go from beginner to skilled – Build modern end-to-end data pipelines with Snowflake

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(47 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(47 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • Ingest data at scale with Snowflake

  • Perform data transformations using SQL and Python

  • Build and orchestrate data pipelines that deliver data product

  • Implement DevOps and observability best practices for data pipelines

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

May 2025

35 practice exercises

Advance your career with in-demand skills

  • Receive professional-level training from Snowflake
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Snowflake

Professional Certificate - 3 course series

What you'll learn

  • Create and manipulate Snowflake's core objects, such as virtual warehouses, databases, schemas, tables, and stages.

  • Use important Snowflake features and objects, such as time travel, cloning, resources monitors, UDFs, stored procedures, and Snowpark DataFrames.

  • Understand the basics of Snowflake’s capabilities for data engineering, generative AI, machine learning, and app development.

Skills you'll gain

Category: Generative AI
Category: Stored Procedure
Category: Data Manipulation
Category: Snowflake Schema
Category: Role-Based Access Control (RBAC)
Category: Application Development
Category: Data Pipelines
Category: Data Access
Category: Data Infrastructure
Category: Machine Learning
Category: Data Warehousing
Category: Database Management
Category: Cloud Applications
Category: Cloud Development
Category: SQL
Category: Large Language Modeling
Category: Data Engineering
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Science
Category: Extract, Transform, Load

What you'll learn

  • How to use Snowflake to ingest data at scale, perform data transformations against data, deliver data products, and orchestrate data pipelines

Skills you'll gain

Category: Data Pipelines
Category: Data Transformation
Category: Data Analysis
Category: Data Integration
Category: Stored Procedure
Category: Extract, Transform, Load
Category: Command-Line Interface
Category: Automation
Category: SQL
Category: Data Warehousing
Category: Data Engineering

What you'll learn

  • How to implement DevOps best practices for data pipelines with Snowflake

  • How to implement observability to monitor data pipeline health

Skills you'll gain

Category: Event Monitoring
Category: Continuous Integration
Category: DevOps
Category: Version Control
Category: Data Pipelines
Category: Continuous Monitoring
Category: Data Analysis
Category: Command-Line Interface
Category: Data Capture
Category: Database Management
Category: Data Engineering
Category: Database Development
Category: CI/CD
Category: Git (Version Control System)
Category: Data Quality
Category: GitHub

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Snowflake Northstar

Top Instructor

Snowflake
5 Courses25,002 learners

Offered by

Snowflake

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Frequently asked questions

¹Based on Coursera learner outcome survey responses, United States, 2021.