Senior Data Engineer, ETL & Analytics Pipelines

Takeda; Ciudad de México; Presencial; MXN 700,000 - 1,000,000; Jornada completa

Descripción de la vacante

A global healthcare company is seeking a Data Engineering Engineer V in Mexico City to collaborate with Agile teams in building data pipelines and managing large-scale data operations. The role requires expertise in data architecture, SQL proficiency, and familiarity with cloud tools. Ideal candidates are skilled in DevOps practices and programming languages like Python or Java, contributing to advanced data-driven decision-making and mentoring junior staff.

Formación

• Expert in designing and maintaining scalable data architectures.
• Proficient in SQL and other data manipulation languages.
• Skilled in software development methodologies.

Responsabilidades

• Design, develop, optimize, and maintain data architecture and pipelines.
• Define data requirements and validate data using various tools.
• Lead the evaluation and implementation of emerging tools.

Conocimientos

Designing and maintaining scalable data architectures

Proficient in SQL

Skilled in DevOps practices

Knowledgeable in data structures and algorithms

Familiar with Spark and Hadoop

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

Skilled in cloud platform deployment

Advanced in PL/SQL and MongoDB

Descripción del empleo

A global healthcare company is seeking a Data Engineering Engineer V in Mexico City to collaborate with Agile teams in building data pipelines and managing large-scale data operations. The role requires expertise in data architecture, SQL proficiency, and familiarity with cloud tools. Ideal candidates are skilled in DevOps practices and programming languages like Python or Java, contributing to advanced data-driven decision-making and mentoring junior staff.