Fintech Data Engineer — AI-Powered Pipelines on GCP

albo, México; México; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

albo is seeking a high-performing Data Engineer to own and scale our core financial data infrastructure, including SPEI workloads. You will design robust ETL/ELT pipelines with Python, Spark and Airflow in a hybrid cloud/on‑prem setup, ensuring reliability for critical services.

You will optimize queries, manage MySQL and MongoDB databases, and apply AI-driven automation to accelerate troubleshooting and data modeling while advancing Terraform-based deployments on GCP.

Formación

• 4+ years in data engineering or similar roles in high-transaction environments.
• Hands-on with GCP and Airflow for orchestrating complex ETL workflows.
• Expert in Python for data processing and IaC with Terraform.

Responsabilidades

• Design, build, and maintain ETL/ELT pipelines using Python, Spark, and Airflow.
• Manage Google Cloud Platform infrastructure and Terraform deployments.
• Administer and scale MongoDB and MySQL databases.
• Ensure 99.99% availability and disaster recovery for on-prem MySQL.
• Identify bottlenecks, optimize queries, and tune performance.
• Integrate Generative AI tools to accelerate data scripting.

Conocimientos

Data pipelines

Python

Bash

Terraform

Airflow

GCP

MongoDB

MySQL

SQL performance

Spanish language

Herramientas

MongoDB

MySQL

SingleStoreDB

Airflow

Terraform

Ansible

GCP

Descripción del empleo

albo is seeking a high-performing Data Engineer to own and scale our core financial data infrastructure, including SPEI workloads. You will design robust ETL/ELT pipelines with Python, Spark and Airflow in a hybrid cloud/on‑prem setup, ensuring reliability for critical services.

You will optimize queries, manage MySQL and MongoDB databases, and apply AI-driven automation to accelerate troubleshooting and data modeling while advancing Terraform-based deployments on GCP.