Data Engineer II

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.

• →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 

• →2+ yrs of SQL experience 

• →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