The Software Engineer in Data Foundations will develop innovative data solutions, enhance data engagement systems, and support colleagues with tools in the data ecosystem.
Our Company bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.
As a Software Engineer in Data Foundations on the Data Experiences and Automation team, you will have the chance to affect how collects and uses data to improve the experience for players.
You'll work closely with our product partner and technical lead to expand data consumption and reporting capabilities and build solutions to improve the development lifecycle for data engineers and insight analysts throughout the organization. You'll be helping as Riot enables advancements and fast iteration in Machine Learning and GenAI pipelines.
You will bring your experience working with globally distributed systems and work with our team of software engineers to help build efficient solutions.
Responsibilities:
- Build and enhance systems that allow team members to more effectively engage with the tools in our data ecosystem.
- Attend stand-ups and team rituals, and work with other software engineers to deliver on team goals
- Participate in code reviews with other members of the team
- Be part of an on-call rotation to support our live products
- Provide meaningful code reviews for other members of the team
- Work collaboratively with non technical customers to accomplish deliverables
Required Qualifications:
- Bachelor’s degree in Computer Science or comparable field
- Understanding of core data engineering concepts and data pipelines
- Experience working with CI/CD Pipelines, Github Actions, and Docker
- 5+ years experience in Python, and SQL
- 3+ years experience working with data warehousing
- Experience in working in Agile and DevOps environment
Top Skills
Ci/Cd Pipelines
Docker
Github Actions
Python
SQL
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