Data Engineer - Databricks, SQL & Python | Hybrid

Oliver Wyman; Ciudad de México; Presencial; MXN 1.184.713 - 1.579.617; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible work environment

Professional development opportunities

Descripción de la vacante

A leading consulting firm in Mexico City is looking for a Data Engineer to design and maintain scalable data pipelines. You will work closely with cross-functional teams to ensure data availability and reliability. The ideal candidate has 2+ years of experience in data engineering, with strong skills in SQL and Python, and practical knowledge of Databricks and related ETL tools. The role supports hybrid work arrangements, allowing for flexibility in your work environment.

Formación

• 2+ years of experience in data engineering or software development.
• Hands-on experience with Databricks and other ETL tools.
• Strong SQL/PLSQL development experience.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Develop and maintain automated data pipelines adhering to business requirements.
• Implement systems to monitor data quality.

Conocimientos

Data modeling

SQL

Python

Data visualization with Tableau

Data quality monitoring

Educación

Bachelors / MS in a quantitative discipline

Herramientas

Databricks

Azure Data Factory

SSIS

Hadoop

Spark

Descripción del empleo

A leading consulting firm in Mexico City is looking for a Data Engineer to design and maintain scalable data pipelines. You will work closely with cross-functional teams to ensure data availability and reliability. The ideal candidate has 2+ years of experience in data engineering, with strong skills in SQL and Python, and practical knowledge of Databricks and related ETL tools. The role supports hybrid work arrangements, allowing for flexibility in your work environment.