Data Engineer: Build Scalable Pipelines & Analytics

Takeda; Ciudad de México; Presencial; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A global biopharmaceutical company is seeking a Data Engineering Engineer III in Mexico City. This role focuses on designing and maintaining data architecture, supporting Data Scientists, and driving advanced data analytics. The ideal candidate will possess expertise in distributed data technologies and programming languages like Python and Java, while collaborating across functions to enhance data solutions. A detailed understanding of DevOps practices and data modeling is essential for success.

Formación

• Ability to handle complex data systems.
• Capable of enhancing system reliability through continuous integration.
• Deep understanding of data structures and software development.

Responsabilidades

• Design and maintain data architecture and pipelines.
• Gather and validate large-scale structured and unstructured data.
• Support Data Scientists in data sourcing and preparation.

Conocimientos

Advanced data engineering techniques

Proficient in DevOps practices

Expertise in distributed data technologies

Proficient in programming languages (Python, Scala, Java, C++)

Advanced SQL skills

Experience with cloud platforms and Kubernetes

Descripción del empleo

A global biopharmaceutical company is seeking a Data Engineering Engineer III in Mexico City. This role focuses on designing and maintaining data architecture, supporting Data Scientists, and driving advanced data analytics. The ideal candidate will possess expertise in distributed data technologies and programming languages like Python and Java, while collaborating across functions to enhance data solutions. A detailed understanding of DevOps practices and data modeling is essential for success.