Data Engineer: ETL/ELT, Data Modeling & BI

Nabla; Ciudad de México; Presencial; MXN 600.000 - 800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descripción de la vacante

Nabla is seeking a Data Engineer to join their team in Mexico City. You will be responsible for establishing best practices in Data Engineering, designing and implementing ETL and ELT pipelines, and supporting stakeholders through effective data extraction and reporting solutions.

The ideal candidate has over 3 years of experience in a data engineering environment, strong programming skills in Python and SQL, and a degree in Computer Science or Engineering.

Benefits include a flexible working environment and opportunities for professional development such as LinkedIn Learning.

Formación

• 3+ years working within a data engineering/reporting environment.
• Experience with various analytical data platforms.
• Understanding of relational and graph databases.

Responsabilidades

• Help establish Data Engineering best practices.
• Design and implement end-to-end ETL and ELT pipelines.
• Support business functions with data visualizations.

Conocimientos

Data tools (Snowflake, Airflow, dbt)

Python programming

SQL skills

Data modeling

CI/CD and testing best practices

Looker

Power BI

Data integration design

Educación

Degree in Computer Science, Engineering or equivalent

Herramientas

ETL and ELT pipelines

Data visualization platforms

Descripción del empleo

Nabla is seeking a Data Engineer to join their team in Mexico City. You will be responsible for establishing best practices in Data Engineering, designing and implementing ETL and ELT pipelines, and supporting stakeholders through effective data extraction and reporting solutions.

The ideal candidate has over 3 years of experience in a data engineering environment, strong programming skills in Python and SQL, and a degree in Computer Science or Engineering.

Benefits include a flexible working environment and opportunities for professional development such as LinkedIn Learning.