About the Team

At GOAT Group, the Engineering team is an integral part of our dynamic company. By joining the team, your skills will be front and center, working alongside other passionate individuals to solve problems and build software. From launching compelling new consumer experiences, tackling global logistics challenges to scaling infrastructure to facilitate our rapid growth – technology is essential to driving our vision forward. The work you do will change the way the world shops, while also empowering entrepreneurs, including individual sellers, brands and boutiques.

Role Overview

The Data Engineering team is responsible for building and maintaining data solutions that deliver value to our internal and external stakeholders. We are part of the Data Platform team here at GOAT and work closely with Data Scientists, Data Analysts, and the broader Engineering team to deliver data needs. We are looking to add an innovative engineer with a strong sense of ownership, who is able to work both independently and as part of a team.

In this role, you will:

• Lead architectural designs and build reliable data pipelines that move data at scale
• Collaborate with internal stakeholders to deliver data needs that drive critical business decisions at GOAT
• Optimize data storage and data modeling for efficient data retrieval and transformation across large datasets
• Move essential data pipelines from batch to real-time setup
• Address process improvements, automate manual processes, and drive changes to stay close with big data advancements

We are looking for:

• 5+ years of industry experience
• Proficiency with SQL and Python or Go
• Proficiency in data warehousing and data modeling
• Proficiency building batch and real-time data pipelines in production
• Experience with data orchestration tools like Airflow or Luigi
• Experience with AWS or another cloud platform
• Bonus if you have experience with streaming tools: Kafka, Flink, and Materialize or similar
• Bonus if you have experience with data compliance regulations such as GDPR and CCPA
• Bonus if you have experience monitoring for data quality and integrityBonus if you are familiar with Data Visualization tools like Mode, Looker, or Tableau