Data Engineer III

Radian Generation; Guadalajara; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading company in renewable energy services is seeking a Senior Data Engineer to lead the design and development of data architecture solutions. The role includes collaborating with data professionals, optimizing data quality, and improving ETL processes. Ideal candidates will have extensive experience in data management, strong programming skills, and a passion for high-quality data solutions.

Formación

• 6+ years experience in data management and ETL processes.
• Expertise in SQL and familiarity with NoSQL databases.
• Proficient programming skills in Python or Ruby.

Responsabilidades

• Lead design and development of ETL pipelines and data lakehouse solutions.
• Collaborate with data teams to enhance data architecture and quality.
• Implement microservice-centric architecture for data integration.

Conocimientos

Data management

Problem solving

Data quality

Programming (Python, Ruby)

Data warehousing concepts

Microservices architecture

Agile methodologies

Educación

University Degree in Computer Science, Data Science, Mathematics

Masters Degree in Computer Science, Data Science, Mathematics (preferred)

Herramientas

AWS

Azure

SQL

NoSQL database solutions

Data visualization tools (DOMO, Tableau, PowerBI)

Version control systems (GIT)

Agile tools (Jira)

Descripción del empleo

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.

JOB SUMMARY

Role and Responsibilities

· Lead the design and development of ETL pipelines and processes

· Design and Implement Data Lakehouse solutions to prepare for business analytics, machine learning, and reporting

· Collaborate with a team of data science and analytics professionals to understand how best to prepare data for further use

· Plan, build, and optimize enhancements to existing data architecture and infrastructure

· Improve 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 6+ years of applicable experience

· Certification in one or more data management technologies or methodologies

· Expertise with both SQL and noSQL database solutions

· Experience working with both structured and unstructured data

· Proficiency with 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+ yrs of SQL experience

· 6+ years of programming experience using either Ruby, Python, or another scripting language

· Experience working within expansive AWS systems involving multiple groups of microservices

· Experience designing and implementing complex data models and hierarchies

Preferred Experience

· Masters Degree in Computer Science, Data Science, Mathematics or a related field and 4+ years of applicable experience

· Experience unifying systems with similar but distinct approaches to data management

· Prior experience adopting newly acquired data products with related data into an existing data model

· Certification in 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.

· Proficiency with data visualization or business intelligence tools (DOMO, Tableau, PowerBI)

· Experience working with version control systems such as GIT