About Radian Generation
Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.
Who We Serve
Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.
Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Role and Responsibilities
- Guide and front the design and development of ETL pipelines and processes
- Collaborate with a team of data science and analytics professionals to understand how best to prepare data for further use
- Build, maintain, and optimize existing data architecture and infrastructure
- Enhance data quality and integrity through pressure testing and validation
- Spearhead the development and unification of multiple systems in a microservice centric architecture
Required Qualification & Education
- University Degree in Computer Science, Data Science, Mathematics or a related field and 4+ years of applicable experience
- Certification in one or more data management technologies or methodologies
Required Skills & Competencies
- Expertise with both SQL and noSQL database solutions
- Experience working with both structured and unstructured data
- Knowledge of programming languages such as Python or Ruby
- Understanding of data warehousing concepts and tools in AWS or Azure
- Understanding of a data lakehouse architecture, design, and implementation
- Strong problem solving skills and a passion for high quality data management
Required Software Knowledge
- 4+ years of programming experience using either Ruby, Python, or another scripting language
- Experience working within expansive AWS systems involving multiple groups of microservices
Preferred Experience
- Masters Degree in Computer Science, Data Science, Mathematics or a related field and 2+ years of applicable experience
- Experience unifying systems with similar but distinct approaches to data management is a plus
Preferred Skills & Competencies
- Understanding of cloud computing and data management technologies in AWS (Sagemaker, Lambda, RDS, Redshift)
- Prior history working under Agile software development methods and tooling, such as Jira ticketing, Kanban process, etc.
- Exposure to data visualization or business intelligence tools is a plus (DOMO, Tableau, PowerBI)
- Experience working with version control systems such as GIT
