Data Engineer

Data Engineer

This job is no longer open

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

The Enterprise Data Platform team is looking for a Data Engineer who has experience with Building Data Pipelines and Managing/Developing on any Cloud Data Warehouse. In this role you will also advise other Data Analysts and Data Engineers from the Business teams at Pinterest on the best practices for handling data and deriving insights using Snowflake. You will gradually become the Subject Matter Expert on Snowflake and also help build out the Modern Data Stack at Pinterest.

What you’ll do:

  • Build Data Pipelines using Python on either Airflow or AWS Lambda to ingest data into Snowflake
  • Build Scripts in Python to manage Data Access on Snowflake
  • Define and advocate the best practices for storing and analyzing data inside Snowflake
  • Review the Data Modeling practices of other teams

What we’re looking for:

  • Strong skills in Python and SQL
  • Experience with Building Data Pipelines in Python
  • Experience with any Cloud Data Warehouse either as an Administrator or a Developer
  • Strong Data Modeling skills

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Our Commitment to Diversity:

At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.

This job is no longer open
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