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. Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I.

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 as a Sr. Data Engineer II 

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  

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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