Product & UX Business Data Engineer – Design Marketplace (ID: 1909)

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.

Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!

What are you going to do?

Our client is a lifestyle brand and design marketplace connecting you with the world’s best artists to create something one of a kind. They crowdsource graphic design and artwork from a global community of independent artists and sells these as products addressing the $10 billion stationery market, $48 billion art market, and $100 billion home decor market.

Their mission is to enable the design independence of both consumers and artists around the world, and the company is a platform for the strongest emerging artists in the world to be seen and discovered.They aim to build a lasting brand representing the most commercially successful design community in the world.

Our Analytics team collectively possesses an incredibly diverse set of skills. The tools you come in with will enhance and expand our capabilities, and you will learn from the team to round out the things you are less familiar with on day one.

In addition to managing the data warehouse that serves as the backbone of the company’s analytics, we build and maintain standalone applications that are used by everyone at the company. This means that you will have the opportunity to build full stack applications and pipelines, untethered by the many of the development constraints of customer-facing systems. You will have rapid impact. Frequently.

• Work with product engineers to design and implement streaming data pipelines for product and UX analytics in an SOA (services oriented architecture) environment
• Design, develop, and expose data models that power analytics for the entire company
• Own high impact and high visibility engineering projects end to end
• Build and extend internal tools that make the entire company more productive

What will help you succeed

• 3+ years professional experience as a data engineer or software engineer with an interest in moving into analytics and data infrastructure
• Familiarity with Data Warehouse Development (Snowflake, Redshirt, or Presto is preferred)
• SQL Scripting experience using RDBMS
• Python ETL development
• Experience with distributed systems, distributed data stores, data pipelines, and other tools in the AWS ecosystem
• Implementing ETL using open-source solutions (Airflow is preferred)