Senior Data Engineer II — DataOps & Cloud Pipelines
Summary
Designs and implements secure data pipelines for healthcare analytics using Python, SQL, Airflow, and Snowflake to support global medical outcomes.
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.