Principal Data Engineer: Cloud Platform Architect & Mentor

NielsenIQ; Ciudad de México; Presencial; MXN 892.800 - 1.049.040; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

Descripción de la vacante

NielsenIQ is seeking an experienced Principal Data Engineer to join our global data engineering team in Mexico City. In this role, you'll design and implement scalable, high-performance data pipelines and maintain cloud-based data platforms that support advanced analytics.

Your responsibilities will include owning end-to-end data workflows, ensuring data quality, and collaborating across functions. Candidates should have strong Python and SQL skills, along with 6-10+ years of Data Engineering experience. The position offers a supportive and inclusive workplace culture.

Formación

• 6–10+ years of experience in Data Engineering or related roles.
• Strong programming skills in Python and SQL.
• Hands-on experience with Big Data frameworks (Spark/PySpark).
• Proven experience building and maintaining production-grade data pipelines.
• Strong background in data modeling.
• Experience working with cloud platforms, preferably Azure.

Responsabilidades

• Design and implement scalable, high-performance data pipelines.
• Architect and maintain cloud-based data platforms.
• Own end-to-end data workflows from ingestion to delivery.
• Ensure data quality and observability across data systems.
• Collaborate with stakeholders to translate business requirements.

Conocimientos

Python

SQL

Big Data frameworks (Spark / PySpark)

Data modeling

Cloud platforms (Azure preferred)

Data orchestration tools (e.g., Airflow)

Snowflake, Databricks

Troubleshooting skills

Herramientas

Kafka

Terraform

Descripción del empleo

NielsenIQ is seeking an experienced Principal Data Engineer to join our global data engineering team in Mexico City. In this role, you'll design and implement scalable, high-performance data pipelines and maintain cloud-based data platforms that support advanced analytics.

Your responsibilities will include owning end-to-end data workflows, ensuring data quality, and collaborating across functions. Candidates should have strong Python and SQL skills, along with 6-10+ years of Data Engineering experience. The position offers a supportive and inclusive workplace culture.