Description

At Shutterfly, we’re all about people — bringing them together, making them feel welcome, and connecting them to experiences. We make our customers’ memories last a lifetime by capturing, preserving, and sharing them through photography and personalized products. Through our family of brands, trend setting products, cutting edge technology, and best in class customer service, we help our customers, and each other, share life’s joy.

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for Shutterfly. You will enhance the Data Warehouse at Shutterfly on AWS, supporting the breadth and depth of the company’s analytic needs.

What You'll Do Here 

Build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions

Provide technical leadership to the Data Warehouse and Shutterfly teams who use Shutterfly’s Enterprise Data Warehouse

With your technical expertise own and manage project priorities, deadlines and deliverables

Evangelize the benefits of existing solutions and new technologies to drive the use and push the technology of the Data Warehouse forward

Work closely with Data Operations to improve CI/CD pipelines am improve the operation and performance of the Data Warehouse


The Skills You'll Bring

Expert knowledge Python, Spark, SQL scripting and Java

7+ years of hands-on experience with building data ingress frameworks and experience with dealing with a wide variety of source data formats

Hands-on experience in building data applications, including design, implementation, debugging, and support

Deep understanding of data integration to support analytics

Strong at applying data structures, algorithms, and object-oriented design, to solve challenging data integration problems

Experience working in the AWS Services Ecosystem or relevant Cloud Infrastructures such as Google Cloud or Azure

Bachelor’s degree in Computer Science or equivalent  



It is helpful, but not required... 

Strong at applying data structures, algorithms, and object oriented design, to solve challenging data integration problems

Expertise with the AWS platform & Databricks preferred


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