Senior Production Data Engineer - AWS Data Platform

Publicis Sapient; Buenos Aires; Presencial; ARS 1.800.000 - 3.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Paid time off

Learning & development

Flexible schedule

Descripción de la vacante

Publicis Sapient seeks a Senior Production Support Data Engineer to maintain and improve critical data platforms on AWS. You will investigate incidents, optimize SQL queries, and automate operations using Python, collaborating with engineering and business teams to ensure reliability and performance.

You will bring 5+ years of data engineering and production support experience, strong communication, and problem-solving skills to ensure smooth data delivery across platforms.

Formación

• 5+ years in Data Engineering and Production Support roles.
• Strong hands-on experience writing and optimizing complex SQL queries.
• Experience supporting AWS-based data platforms and services.
• Knowledge of Amazon Aurora performance tuning and troubleshooting.
• Experience investigating and resolving production issues in data ecosystems.
• Python scripting for automation and operations.
• Ability to perform root cause analysis and drive incident resolution.
• Strong communication and stakeholder coordination skills.

Responsabilidades

• Investigate, resolve, and prevent data-related incidents in production environments.
• Support and maintain cloud-based data platforms running on AWS.
• Collaborate with engineering, infrastructure, and business teams to ensure reliability.
• Troubleshoot performance and stability issues and implement improvements.

Conocimientos

SQL queries

AWS

Amazon Aurora

Python scripting

Root cause analysis

Production support

Data engineering

Stakeholder management

Educación

5+ years in data engineering/production support

Herramientas

CloudWatch

Descripción del empleo

Publicis Sapient seeks a Senior Production Support Data Engineer to maintain and improve critical data platforms on AWS. You will investigate incidents, optimize SQL queries, and automate operations using Python, collaborating with engineering and business teams to ensure reliability and performance.

You will bring 5+ years of data engineering and production support experience, strong communication, and problem-solving skills to ensure smooth data delivery across platforms.