Data Engineer II

Radian Generation; Región Centro; On-site; MXN 600,000 - 900,000; Full time

Job summary

Radian Generation is seeking a data engineer to design and optimize ETL pipelines and data architectures across cloud platforms. You will collaborate with data science and analytics teams to prepare data for downstream use and decision-making.

You will build, maintain, and improve data infrastructure, ensure data quality through validation, and drive the unification of multiple systems in a microservice-oriented framework. Strong SQL/noSQL, Python or Ruby, and AWS/Azure knowledge are essential.

Qualifications

• University degree in CS/DS/Math or related field with 4+ years of experience.
• Certification in data management technologies or methodologies.
• Expertise with SQL and noSQL databases.
• Experience with structured and unstructured data.
• Knowledge of Python or Ruby.
• Understanding of AWS or Azure data warehousing concepts.
• Understanding of data lakehouse architecture and implementation.
• Strong problem solving and commitment to high-quality data management.

Responsibilities

• Design and develop ETL pipelines and processes.
• Collaborate with data science and analytics teams to prep data for use.
• Build, maintain, and optimize data architecture and infrastructure.
• Enhance data quality through validation and testing.
• Spearhead the development and unification of systems in a microservice architecture.

Skills

Strong problem solving

High quality data management

Agile

Python

Ruby

SQL

noSQL

Cloud data platforms

GIT

Jira

Tableau

Education

Bachelors in Computer Science, Data Science, Mathematics or related field

Masters in related field (preferred)

Tools

SQL

noSQL

Python

Ruby

AWS

Azure

Jira

GIT

Data warehousing

ETL

Job description

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
• 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
• 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