Senior Data Engineer II - DataOps & Cloud Pipelines

Elsevier; Ciudad de México; Híbrido; MXN 950.000 - 1.300.000; 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's AIS DataOps team is building secure, scalable data infrastructure to support global health initiatives. As a Senior Data Engineer II, you will design data pipelines, ensure high-quality data delivery, and collaborate across disciplines to promote coding standards and reliable deployments.

You will work with Airflow, Snowflake, and DBT, while leveraging SDLC, DataOps, and DevOps practices. The role offers a hybrid work model with in-office presence twice weekly in Reforma, Mexico City.

Formación

• Experience with modern data technologies such as Airflow, Snowflake, and DBT.
• Experience with data visualization and cloud tools is beneficial.
• Familiarity with SDLC, DataOps, and DevOps practices preferred.

Responsabilidades

• Design and implement robust data orchestration and transformation solutions.
• Ensure reliable delivery of high-quality data for analysis, reporting, and sharing.
• Collaborate with cross-functional teams to define, maintain, and promote coding and technical standards.
• Partner with DevOps to automate deployments and apply Infrastructure as Code for consistent environments.
• Build reusable frameworks and deployment patterns using Airflow.
• Document best practices and support knowledge sharing across teams.
• Improve platform reliability and scalability through logging, monitoring, and observability.
• Identify and address gaps in the data platform and support DataOps initiatives.

Conocimientos

Airflow

Snowflake

DBT

Herramientas

Tableau

Sisense

AWS

GitHub

Terraform

Docker

Descripción del empleo

Elsevier's AIS DataOps team is building secure, scalable data infrastructure to support global health initiatives. As a Senior Data Engineer II, you will design data pipelines, ensure high-quality data delivery, and collaborate across disciplines to promote coding standards and reliable deployments.

You will work with Airflow, Snowflake, and DBT, while leveraging SDLC, DataOps, and DevOps practices. The role offers a hybrid work model with in-office presence twice weekly in Reforma, Mexico City.