Senior Data Engineer: Python + Snowflake ETL (Remote)

Bluelightconsulting; México; A distancia; MXN 600.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Bonuses

Generous PTO

Flexible hours

Remote work

Education support

Descripción de la vacante

Bluelightconsulting invites a Data Engineer to design and maintain scalable ETL pipelines using Python (PySpark), Snowflake, and Azure-based tools. You will ingest and transform data from REST APIs, databases, and cloud storage to support analytics across client projects.

The role emphasizes data modeling, performance tuning, governance, and collaboration with architects, analysts, and stakeholders in a fast-paced environment. Remote-friendly, with opportunities for professional growth.

Formación

• Bachelor’s degree in Computer Science, IT, Data Engineering, or related field.
• Proven experience building end-to-end data pipelines from REST APIs, databases, cloud storage, and flat files.
• Snowflake proficiency with warehouses, streams, stages, and performance optimization.
• Advanced SQL development for large-scale workloads.
• Data modeling using star schemas and dimensional modeling.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark) and Snowflake.
• Ingest, transform, and load data from REST APIs, relational databases, and cloud storage.
• Collaborate with data architects and stakeholders to build robust data models.
• Monitor performance, apply optimizations, and enforce data governance and quality.

Conocimientos

Analytical thinking

Problem solving

Attention to detail

Communication

Educación

Bachelor’s degree in Computer Science, IT, Data Engineering, or related

Herramientas

Snowflake

Python/PySpark

SQL

Azure Data Factory

Azure

Git

Azure DevOps

Descripción del empleo

Bluelightconsulting invites a Data Engineer to design and maintain scalable ETL pipelines using Python (PySpark), Snowflake, and Azure-based tools. You will ingest and transform data from REST APIs, databases, and cloud storage to support analytics across client projects.

The role emphasizes data modeling, performance tuning, governance, and collaboration with architects, analysts, and stakeholders in a fast-paced environment. Remote-friendly, with opportunities for professional growth.