Senior Data Engineer - AWS, AI & Data Platform Lead

Fitch Ratings

Monterrey

In loco

MXN 900.000 - 1.300.000

Tempo pieno

14 giorni+

Aumenta le possibilità di ricevere una risposta da questo datore di lavoro

Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

40% in-office monthly
Tuition reimbursement
Healthcare offerings
Retirement plan
Volunteer days

Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

AWS Expertise
Python for Data Eng
API Development
Data Pipelines
REST/GraphQL APIs

Strumenti

Databricks
Snowflake
Kafka/MSK
GitHub
Terraform

Descrizione del lavoro

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.

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