Senior LL Production Support Data Engineer Python SQL AWS

Aviso de fuente externaen Publicis Sapient

Support and maintain AWS data platforms at Publicis Sapient, investigating production incidents with SQL, Python, and Amazon Aurora.

Fuente externa - sin verificarhace 6 semanasVigente hasta: 5 nov 2026

Salario

No especificado

Ubicación

Bogotá, Colombia

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Senior LL Production Support Data Engineer Python SQL AWS

Bogotá, Colombia

Descripción del empleo

About the role

As a Senior Production Support Data Engineer at Publicis Sapient, you will support and maintain critical data platforms and production environments. This is a long-term L2/L3 support role focused on investigating, resolving, and preventing data-related incidents in cloud-based environments. You will work with engineering, infrastructure, and business teams to support the reliability, stability, and performance of data systems running on AWS.

Responsibilities

  • Support and maintain critical data platforms and production environments.
  • Investigate, resolve, and prevent data-related incidents in cloud-based environments.
  • Work with engineering, infrastructure, and business teams to support data system reliability, stability, and performance.
  • Perform root cause analysis and drive issue resolution independently.
  • Identify recurring issues and implement improvements to system reliability.

Requirements

  • 5+ years of experience in Data Engineering and Production Support roles.
  • 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.
  • Strong communication, stakeholder management, and coordination skills.
  • Experience with Amazon DocumentDB environments, exposure to AWS monitoring and observability tools such as CloudWatch, or experience with incident management, problem management, and ITIL-based support processes can set you apart.
  • Knowledge of data pipelines, ETL workflows, and batch processing systems, and experience building operational automation solutions to reduce manual support effort can set you apart.

Benefits

  • Inclusive workplace that promotes diversity and collaboration.
  • Ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness...

How to apply

Apply directly on CazVid.

Datos clave

  • The role supports and maintains critical data platforms and production environments.
  • Requires 5+ years of experience in Data Engineering and Production Support roles.
  • Requires hands-on experience with complex SQL queries and Python.
  • The role supports AWS-based data platforms and services.

Preguntas frecuentes

  • What does the role involve?

    It involves supporting and maintaining critical data platforms and production environments, and investigating, resolving, and preventing data-related incidents.

  • What experience and skills are required?

    The listing requires 5+ years in Data Engineering and Production Support roles, complex SQL query skills, experience with AWS-based data platforms, and hands-on Python experience.

  • How can I apply?

    Apply directly on CazVid.

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