​​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
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 contr

📌 Data Engineer II (Guadalajara)
🏢 Radian Generation
📍 Guadalajara