Senior Data Engineer - Production Support (AWS)

Publicis Sapient; Ciudad de México; Presencial; MXN 1.339.000 - 2.009.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Generous paid leave and holidays

Wellness program

Career development opportunities

Descripción de la vacante

Publicis Sapient in Mexico City is seeking a Senior Production Support Data Engineer to maintain critical data platforms and production environments in AWS. This long-term L2/L3 role requires strong analytical and troubleshooting skills to investigate, resolve, and prevent data incidents.

You will work closely with engineering, infrastructure, and business teams to ensure reliability, stability, and performance of data systems running on AWS, including Amazon Aurora and DocumentDB.

Formación

• 5+ years of experience in Data Engineering and Production Support roles.
• Strong hands-on experience writing and optimizing complex SQL queries.
• Experience supporting and operating AWS-based data platforms and services.
• Strong knowledge of Amazon Aurora, including performance tuning and troubleshooting.
• Experience investigating and resolving production issues within data ecosystems.
• Hands-on experience with Python for scripting, automation, and operational support activities.
• Ability to perform root cause analysis and drive issue resolution independently.
• Strong communication, stakeholder management, and coordination skills.

Conocimientos

SQL

Python

AWS

Data engineering

Production support

Root cause analysis

Stakeholder management

Cloud-based data platforms

Herramientas

Amazon Aurora

Amazon DocumentDB

AWS CloudWatch

Descripción del empleo

Publicis Sapient in Mexico City is seeking a Senior Production Support Data Engineer to maintain critical data platforms and production environments in AWS. This long-term L2/L3 role requires strong analytical and troubleshooting skills to investigate, resolve, and prevent data incidents.

You will work closely with engineering, infrastructure, and business teams to ensure reliability, stability, and performance of data systems running on AWS, including Amazon Aurora and DocumentDB.