Senior Data Engineer - AWS, AI & Data Platform Lead

Fitch Ratings; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

40% in-office monthly

Tuition reimbursement

Healthcare offerings

Retirement plan

Volunteer days

Descripción de la vacante

Fitch Ratings is seeking a Data Engineer in Monterrey to design, build, and optimize scalable data platforms. You will lead a high-performing data engineering team, partner with the CDO and data product leaders, and help shape enterprise-wide self-service data capabilities.

The role emphasizes AWS-based architecture, data ingestion/transformation, and modern tooling for data quality and governance. Strong Python and API development are essential.

Formación

• 4–5 years hands-on leadership of technical data engineers.
• Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift).
• Strong Python for data engineering and API development.
• Experience with data lakes/warehouses and modern data tools.

Responsabilidades

• Lead a high-performing data engineering team delivering scalable data solutions aligned with business priorities.
• Define and execute the vision for an AWS-based data platform enabling enterprise-wide self-service.
• Drive architectural decisions for ingestion, transformation, and distribution frameworks.
• Champion adoption of emerging tech like Agentic AI in data workflows.
• Ensure operational excellence and reliability with robust quality controls.

Conocimientos

AWS Expertise

Python for Data Eng

API Development

Data Pipelines

REST/GraphQL APIs

Herramientas

Databricks

Snowflake

Kafka/MSK

GitHub

Terraform

Descripción del empleo

Fitch Ratings is seeking a Data Engineer in Monterrey to design, build, and optimize scalable data platforms. You will lead a high-performing data engineering team, partner with the CDO and data product leaders, and help shape enterprise-wide self-service data capabilities.

The role emphasizes AWS-based architecture, data ingestion/transformation, and modern tooling for data quality and governance. Strong Python and API development are essential.