Senior Data Engineer for Scalable Data Pipelines (Remote)

S&P Global; Ciudad de México; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A global leader in analytics seeks a Data Scientist III in Mexico City. This remote position involves designing and maintaining data processing systems and collaborating with various stakeholders to ensure optimal data utilization. Ideal candidates should have over 5 years experience in Python and extensive knowledge in SQL databases and data pipeline design. A great opportunity for those looking to make significant contributions to data-driven solutions.

Servicios

Health care coverage

Generous time off

Continuous learning resources

Financial wellness programs

Family-friendly perks

Formación

• 5+ years of programming experience particularly in Python.
• 4+ years of experience working with SQL or NoSQL databases.
• Strong understanding of big data technologies.
• Ability to collaborate with both technical and non-technical stakeholders.

Responsabilidades

• Collaborate with stakeholders to understand data processing needs.
• Design, construct, install, and maintain processing systems.
• Implement ETL processes for data acquisition and validation.
• Optimize algorithms and models with data scientists.
• Manage deployment of analytics solutions into production.

Conocimientos

Python

SQL or NoSQL databases

Big data technologies

Data pipelines

Airflow

Analytical skills

Communication skills

Git

Machine learning

Educación

University degree in Computer Science, Engineering, Mathematics, or related disciplines

Descripción del empleo

A global leader in analytics seeks a Data Scientist III in Mexico City. This remote position involves designing and maintaining data processing systems and collaborating with various stakeholders to ensure optimal data utilization. Ideal candidates should have over 5 years experience in Python and extensive knowledge in SQL databases and data pipeline design. A great opportunity for those looking to make significant contributions to data-driven solutions.