Snowflake
Snowflake Data Engineering Professional Certificate
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

Snowflake Northstar

Instructor: Snowflake Northstar

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(88 reviews)

Beginner level

Recommended experience

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

(88 reviews)

Beginner level

Recommended experience

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

What you'll learn

  • 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

Overview

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

Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Stored Procedure, Data Manipulation, Role-Based Access Control (RBAC), SQL, LLM Application, Cloud Development, Data Science, Data Storage, Extract, Transform, Load, Database Management, Data Warehousing, Data Engineering, Data Lakes, Application Development, Machine Learning, and Data Pipelines

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

Data Transformation, Data Pipelines, Stored Procedure, Data Sharing, Command-Line Interface, SQL, Data Analysis, Extract, Transform, Load, Data Warehousing, Data Integration, Data Engineering, Data Import/Export, GitHub, and Software Development Tools

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

CI/CD, Data Pipelines, DevOps, Database Management, Version Control, System Monitoring, Data Engineering, Databases, Data Analysis, Continuous Monitoring, and Command-Line Interface

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
5 Courses30,551 learners

Offered by

Snowflake

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