Senior Data Engineer: Build Scalable Cloud Pipelines

Elsevier; Ciudad de México; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading global information and analytics company is seeking a Senior Data Engineer in Mexico City. This role focuses on designing and maintaining data pipelines, implementing DataOps practices, and mentoring junior engineers. The ideal candidate has over 5 years of experience in data engineering, strong proficiency in Python, and familiarity with AWS services. The company offers a supportive work environment and benefits to enhance employee wellbeing.

Servicios

Private Medical/Dental Plan

Savings Fund

Life Insurance

Meal/Grocery Voucher

Formación

• 5+ years of experience in data engineering or a related field.
• Hands-on experience with Snowflake for data solutions.
• Understanding of CI/CD for data pipelines.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Python and AWS services.
• Build ETL/ELT workflows for data transformation and delivery.
• Collaborate with analysts to deliver data solutions based on requirements.

Conocimientos

Python for data engineering

SQL skills and query optimization

Snowflake experience

AWS data services proficiency

Data modeling principles knowledge

DataOps practices understanding

Strong problem-solving skills

Excellent communication skills

Educación

Bachelor's Degree in Computer Science or Engineering

Herramientas

Apache Airflow

AWS Glue

Docker

Descripción del empleo

A leading global information and analytics company is seeking a Senior Data Engineer in Mexico City. This role focuses on designing and maintaining data pipelines, implementing DataOps practices, and mentoring junior engineers. The ideal candidate has over 5 years of experience in data engineering, strong proficiency in Python, and familiarity with AWS services. The company offers a supportive work environment and benefits to enhance employee wellbeing.