Senior Data Engineer II — DataOps & Cloud Pipelines

Elsevier; Ciudad de México; Híbrido; MXN 500.000 - 700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private Medical/Dental Plan

Savings Fund

Life Insurance

Meal/Grocery Voucher

Descripción de la vacante

Elsevier is seeking a Senior Data Engineer II in Mexico, Ciudad de México, to design and implement secure data solutions. The role involves collaborating with cross-functional teams to ensure data accuracy and efficiency, directly supporting healthcare outcomes worldwide.

The ideal candidate has robust experience with modern data technologies like Airflow and Snowflake, builds data pipelines with Python and SQL, and thrives in collaborative and feedback-oriented environments. Comprehensive benefits including a private medical plan and flexible work arrangements are offered.

Formación

• Demonstrated experience with modern data technologies like Airflow and Snowflake.
• Ability to build and deploy data pipelines.
• Experience in Agile or iterative development environments.

Responsabilidades

• Design and implement robust data orchestration and transformation solutions.
• Collaborate with cross-functional teams to maintain coding standards.
• Support DataOps initiatives and improve platform reliability.

Conocimientos

Airflow

Snowflake

ETL/ELT solutions

Python

SQL

Herramientas

Tableau

AWS

GitHub

Terraform

Docker

Descripción del empleo

Elsevier is seeking a Senior Data Engineer II in Mexico, Ciudad de México, to design and implement secure data solutions. The role involves collaborating with cross-functional teams to ensure data accuracy and efficiency, directly supporting healthcare outcomes worldwide.

The ideal candidate has robust experience with modern data technologies like Airflow and Snowflake, builds data pipelines with Python and SQL, and thrives in collaborative and feedback-oriented environments. Comprehensive benefits including a private medical plan and flexible work arrangements are offered.