Data Engineer — AWS/Python for AI-Ready Cloud Platform

HopHR; Monterrey; Híbrido; MXN 1.203.162 - 1.546.923; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work-life balance

Comprehensive healthcare offerings

Retirement planning and tuition reimbursement

Descripción de la vacante

HopHR is seeking a Data Engineer in Monterrey, Mexico, to join a high-performing team focused on building and maintaining advanced data solutions. The role includes implementing scalable data architectures and leveraging AI and cloud technologies to enhance data workflows and business insights.

Ideal candidates will have 3-5 years of relevant experience and strong AWS and Python skills. The position offers a collaborative work environment with a strong focus on work-life balance and professional development opportunities.

Formación

• 3-5 years of experience as a member of a technical data engineering team, preferably in financial services.
• Proven AWS expertise (S3, EKS, Lambda, etc.).
• Strong Python knowledge for data engineering tasks.

Responsabilidades

• Implement modern, scalable data solutions aligned with business priorities.
• Partner with CDO and data product leaders on AWS data platforms.
• Champion integration of AI technologies into data workflows.

Conocimientos

AWS expertise

Python for data engineering

ETL/ELT pipelines

AI/ML applications

API Development

Educación

3-5 years experience in data engineering

AWS Certification

Herramientas

Databricks

Snowflake

Collibra

Informatica

Descripción del empleo

HopHR is seeking a Data Engineer in Monterrey, Mexico, to join a high-performing team focused on building and maintaining advanced data solutions. The role includes implementing scalable data architectures and leveraging AI and cloud technologies to enhance data workflows and business insights.

Ideal candidates will have 3-5 years of relevant experience and strong AWS and Python skills. The position offers a collaborative work environment with a strong focus on work-life balance and professional development opportunities.