Data Engineer: Build Scalable Data Pipelines

Didi; Monterrey; Presencial; MXN 435,000 - 610,000; Jornada completa

Descripción de la vacante

A leading mobility technology platform is seeking a Data Engineer in Monterrey, Mexico, to build and optimize data pipelines while ensuring data quality across the ecosystem. The role involves writing scalable code, collaborating with cross-functional teams, and supporting analytics initiatives. Candidates should have 1–2 years of experience in a related field, a passion for data, and proficiency in SQL. Competitive benefits and a commitment to diversity and inclusion are part of the offer.

Servicios

Growth opportunities

Diversity and inclusion initiatives

Flexible work options

Formación

• 1–2 years of experience in a data-centric discipline post-graduation.
• Strong SQL skills and data querying capabilities.
• Experience with ETL/ELT processes and database management.

Responsabilidades

• Build, maintain, and optimize data pipelines.
• Write scalable code for data ingestion and reporting.
• Collaborate with teams to understand and translate data needs.

Conocimientos

SQL proficiency

Data modeling

Programming (Python, Java)

Data management

Critical thinking

Educación

1–2 years in data engineering or related field

Herramientas

AWS

BigQuery

Airflow

Descripción del empleo

A leading mobility technology platform is seeking a Data Engineer in Monterrey, Mexico, to build and optimize data pipelines while ensuring data quality across the ecosystem. The role involves writing scalable code, collaborating with cross-functional teams, and supporting analytics initiatives. Candidates should have 1–2 years of experience in a related field, a passion for data, and proficiency in SQL. Competitive benefits and a commitment to diversity and inclusion are part of the offer.