Data Platform Engineer - Python, GCP, Airflow

Confiz Limited; Monterrey; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Global team

ISO certifications

Learning culture

Descripción de la vacante

Confiz Limited’s LATAM subsidiary CONSULTFIZ LATAM is seeking a Data Platform Engineer to design, develop, and maintain scalable data orchestration platforms. You will work with Python, GCP, Airflow, Terraform, and modern data tooling to automate ETL/ELT pipelines.

The role focuses on building self-service capabilities for engineers, data scientists, and analysts, managing cloud data infrastructure with IaC, and ensuring robust data governance and lineage across BigQuery, GCS, Kafka, and more.

Formación

• 5–7 years of professional experience in Data Engineering or related software roles.
• Strong Python programming and automation experience.
• Solid SQL skills in cloud data environments (BigQuery).
• Experience designing ETL/ELT pipelines and data architectures.
• Familiarity with CI/CD and Git workflows.

Responsabilidades

• Design, evolve, and maintain scalable data orchestration platforms for ETL/ELT operations.
• Build self-service platform capabilities for engineers, data scientists, and analysts.
• Develop integrations with data sources/destinations (Kafka, GCS, BigQuery, Postgres, S3).
• Provision and manage cloud data infrastructure using Terraform (IaC).
• Orchestrate data pipelines with Airflow and Kubernetes.
• Develop platform tooling and CLIs using Python.
• Govern metadata, data cataloging, and lineage for enterprise data.

Conocimientos

Python

SQL

Problem solving

Communication

Educación

Bachelor’s or Master’s degree in Computer Science or Engineering

Herramientas

Terraform

Airflow

Kubernetes

Kafka

BigQuery

GCS

Dataproc Serverless

dbt

Descripción del empleo

Confiz Limited’s LATAM subsidiary CONSULTFIZ LATAM is seeking a Data Platform Engineer to design, develop, and maintain scalable data orchestration platforms. You will work with Python, GCP, Airflow, Terraform, and modern data tooling to automate ETL/ELT pipelines.

The role focuses on building self-service capabilities for engineers, data scientists, and analysts, managing cloud data infrastructure with IaC, and ensuring robust data governance and lineage across BigQuery, GCS, Kafka, and more.