Senior Data Engineer: ETL (Python + Snowflake) — Remote

Bluelightconsulting; Salta; A distancia; ARS 104.988.451 - 164.981.852; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous paid-time-off

Flexible working hours

Work remotely

Continuing education and training

Company-sponsored coursework and certs

Descripción de la vacante

Bluelightconsulting seeks a data engineer to drive scalable ETL/ELT pipelines using Python/PySpark, Snowflake, and Azure cloud services. You will collaborate with data architects and stakeholders to build robust data models and optimize SQL for large-scale workloads.

The role emphasizes modern data architectures, governance, and data quality, with opportunities for remote work and professional growth across the US and LATAM markets.

Formación

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field or equivalent experience.
• Proven experience building end-to-end data pipelines (REST APIs, relational DBs, cloud storage, flat files).
• Hands-on Snowflake: warehouses, streams, tasks, stages, Snowpipe, data sharing, performance tuning.
• Advanced SQL development, complex queries, tuning, large workloads.
• Data modeling experience (star schemas, facts, dimensions).

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines using Python (PySpark), Snowflake, and cloud-native technologies.
• Build reliable, efficient ingestion, transformation, and loading processes.
• Collaborate with data architects and stakeholders to create data models aligned with business goals.
• Monitor pipelines, optimize SNOWFLAKE workloads, and ensure SLAs.

Conocimientos

Data pipelines

Snowflake

SQL

Python/PySpark

Educación

Bachelor's degree in CS/IT/Data Eng

Herramientas

Snowflake

Azure Data Factory

Azure DevOps

Git

Terraform

Descripción del empleo

Bluelightconsulting seeks a data engineer to drive scalable ETL/ELT pipelines using Python/PySpark, Snowflake, and Azure cloud services. You will collaborate with data architects and stakeholders to build robust data models and optimize SQL for large-scale workloads.

The role emphasizes modern data architectures, governance, and data quality, with opportunities for remote work and professional growth across the US and LATAM markets.