Senior Data Engineer: Lead Data Strategy & Analytics

Agileengine; Puebla de Zaragoza; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading software development company in Puebla is seeking a Senior/Lead Data Engineer to shape data strategies driving advanced analytics for global teams. The role involves building data foundations, optimizing pipelines, and enabling analytics use cases with a clear focus on leadership and innovation. Candidates should have over 10 years of experience in data engineering and a strong command of SQL and Python.

Servicios

Professional growth through mentorship and TechTalks

Competitive USD-based compensation

Exciting projects with Fortune 500 clients

Flextime for optimal work-life balance

Formación

• 10+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred).
• 10+ years of experience in Python.
• 10+ years of experience in workflow orchestration and building end-to-end data pipelines.
• 10+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks.
• 10+ years of experience in data monitoring and troubleshooting preferred.
• Upper-Intermediate English level.

Responsabilidades

• Build consolidated data foundations and dashboards to support workforce analytics.
• Develop single sources of truth for business data, ensuring data accuracy and consistency.
• Implement and optimize data pipelines, dashboards, and analytics platforms.
• Enable advanced analytics and data science use cases.

Conocimientos

SQL (Snowflake/Cloud platform: AWS preferred)

Python

Workflow orchestration and building data pipelines (Airflow, GitHub, etc.)

Data modeling

Data warehousing

ETL/ELT frameworks

Data monitoring and troubleshooting

Upper-Intermediate English

Descripción del empleo

A leading software development company in Puebla is seeking a Senior/Lead Data Engineer to shape data strategies driving advanced analytics for global teams. The role involves building data foundations, optimizing pipelines, and enabling analytics use cases with a clear focus on leadership and innovation. Candidates should have over 10 years of experience in data engineering and a strong command of SQL and Python.