Data Engineer — Build Scalable Pipelines & Insights

Didi; Ciudad de México; Presencial; MXN 40,000 - 60,000; Jornada completa

Descripción de la vacante

A leading global technology company in Mexico City is looking for a Data Engineer to join its Strategy team. The role includes building and optimizing data pipelines and collaborating with cross-functional teams to drive insights and operational excellence. Candidates should have 1-2 years of experience in data engineering with strong SQL skills and a coding background in Python or similar languages. This company values diversity and offers a collaborative work environment where innovation thrives.

Servicios

User value focus

Data-driven decision making

Collaborative environment

Growth opportunity

Diversity and inclusion commitment

Formación

• 1–2 years of experience in data-centric roles.
• Strong proficiency in SQL and data modeling.
• Comfortable coding in Python or Java.

Responsabilidades

• Build, maintain, and optimize data pipelines.
• Write clean code and SQL queries for data operations.
• Collaborate with teams to define data requirements.

Conocimientos

SQL

Data management

Python

Data querying

Collaboration

Educación

Bachelor's degree in a relevant field

Herramientas

Snowflake

AWS

GCP

Airflow

Descripción del empleo

A leading global technology company in Mexico City is looking for a Data Engineer to join its Strategy team. The role includes building and optimizing data pipelines and collaborating with cross-functional teams to drive insights and operational excellence. Candidates should have 1-2 years of experience in data engineering with strong SQL skills and a coding background in Python or similar languages. This company values diversity and offers a collaborative work environment where innovation thrives.