Data Engineer II - Scalable Pipelines & Lakehouse

Radian Generation; Región Centro; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Strong problem solving

High quality data management

Agile

Python

Ruby

SQL

noSQL

Cloud data platforms

GIT

Jira

Tableau

Educación

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

Masters in related field (preferred)

Herramientas

SQL

noSQL

Python

Ruby

AWS

Azure

Jira

GIT

Data warehousing

ETL

Descripción del empleo

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.