Remote Senior Data Engineer - ETL (Python/Snowflake)

Bluelightconsulting; Naucalpan de Juárez; A distancia; MXN 550.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonuses

Generous PTO

Flexible hours

Remote work

Education support

Descripción de la vacante

Bluelight is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native technologies. You will build reliable data ingestion, transformation, and loading processes to support analytics and decision-making.

You will collaborate with data architects and stakeholders, leverage Azure Data Factory and ADLS, optimize Snowflake workloads, and ensure data governance, quality, and security.

Formación

• Bachelor's degree in Computer Science, IT, Data Engineering or related field (or equivalent).
• Proven experience building end-to-end data pipelines using REST APIs, databases, cloud storage, and flat files.
• Hands-on Snowflake experience with warehouses, streams, tasks, stages, and data sharing.
• Advanced SQL skills for large-scale workloads and performance tuning.
• Experience with dimensional modeling and data warehousing concepts.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native tech.
• Build reliable data ingestion, transformation, and loading processes to support analytics.
• Monitor and optimize Snowflake workloads and SQL queries to meet SLAs.
• Collaborate with data architects, analysts, and stakeholders to model logical/physical data structures.
• Support data governance, quality controls, and security in enterprise data platforms.

Conocimientos

Analytical mindset

Problem-solving

Detail-oriented

Excellent communication

Educación

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

Herramientas

Snowflake

Azure Data Factory

Azure DevOps

Power BI

Git

Python/PySpark

Descripción del empleo

Bluelight is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native technologies. You will build reliable data ingestion, transformation, and loading processes to support analytics and decision-making.

You will collaborate with data architects and stakeholders, leverage Azure Data Factory and ADLS, optimize Snowflake workloads, and ensure data governance, quality, and security.