- Dublin
- Sales
- Regular
Description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
As an engineer on the Data Engineering team you'll provide intelligence to the rest of the company that will enable making better product decisions. You'll make use of the latest advances in large scale data processing to uncover insights in data. You’ll work on building critical data pipelines and solutions with a world-class team of engineers towards the mission of enabling planet-scale, data-driven products and insights at Pinterest.
What you’ll do:
- Work with cross functional stakeholders to design and architect data and analytics solutions
- Build robust data pipelines, tooling and platform solutions which collect, process, and compute large datasets
- Create critical datasets for analytical use cases, machine learning and many other strategic initiatives
- Drive efforts to improve code and data quality, optimize data processing platforms, physical data storage and increase operational resilience.
What we’re looking for:
- 4+ years of industry experience
- Bachelor’s degree in a relevant field such as computer science or equivalent experience
- Proficient in SQL, Python
- Scala/Java using Apache Spark or any other distributed framework is nice to have
- Passionate about working with data at hundreds of petabytes scale
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
#LI-HYBRID
#LI-DL2
Our Commitment to Inclusion: