Chief Data Architect

beBeeDataEngineering; México; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading data engineering firm in Mexico is seeking a skilled Senior Data Pipeline Engineer. You will design and operate reliable data pipelines, primarily using Apache Airflow and Python. The ideal candidate should be proficient in cloud-based platforms, have a solid understanding of data engineering concepts, and possess strong programming skills. This position offers a competitive salary, opportunities for growth, and a collaborative work environment.

Servicios

Competitive salary and benefits package

Opportunities for career growth

Collaborative work environment

Formación

• Strong understanding of data engineering concepts and technologies.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with cloud-based data platforms such as AWS or GCP.

Responsabilidades

• Design, develop, and operate data pipelines using Apache Airflow and Python.
• Build and maintain Airflow DAGs for ETL/ELT processes.
• Implement observability and security best practices in data management.

Conocimientos

Data engineering concepts

Python programming

Problem-solving skills

Herramientas

Apache Airflow

AWS

GCP

Descripción del empleo

Senior Data Pipeline Engineer

We are looking for a highly skilled Senior Data Pipeline Engineer to join our team.

Key Responsibilities

• Design, development, and operation of reliable, secure, and cost-effcient data pipelines using Apache Airflow (2.x) and Python.
• Build and maintain Airflow DAGs (TaskFlow, dynamic DAGs, deferrable operators, Secrets backend).
• Develop Python ETL/ELT for APIs, storage, message buses, and databases; create reusable libraries.
• Implement data quality, unit testing, and CI-based DAG validation.
• Manage schemas and compatibility.
• Design and maintain SQL/NoSQL/Blob storage models with proper partitioning and retention.
• Implement observability (metrics, logs, alerts), SLAs, and reliability improvements.
• Apply security best practices: IAM, secrets management, RBAC, PII handling, data contracts.
• Collaborate with Android and backend teams; document architecture and runbooks.

Requirements

To be successful in this role, you will need:

• Strong understanding of data engineering concepts and technologies.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with cloud-based data platforms such as AWS or GCP.
• Knowledge of data modeling, schema design, and data governance.
• Excellent problem-solving skills and ability to work independently.

Benefits

This is an exciting opportunity to work on challenging projects and develop your skills further. You will also receive:

• Competitive salary and benefits package.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.