Remote AWS Data Engineer: Lakehouse & AI Data Pipelines

Netrix Global; Buenos Aires; A distancia; ARS 1.200.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote/home office option

Some travel required

Competitive salary and benefits

Certification opportunities

Team-based environment

Descripción de la vacante

Netrix Global is seeking an AWS Data Engineer for its Professional Services - Data Intelligence team. You will support the development, maintenance and ongoing improvement of client data platforms, spanning lakehouse architectures, data pipelines and cloud analytics.

You’ll collaborate with data scientists and engineers, design ETLs/ELTs, manage data lakes, and work with Hadoop/Spark ecosystems. Remote-friendly Argentina location, standard business hours, with opportunities to learn and grow.

Formación

• Experience in ETL/ELT, data prep and ingest, and data streaming.
• Experience working in AWS environments and cloud data services.
• Knowledge of Python, R or other data processing tools.

Responsabilidades

• Identify, prepare data for modern data solutions and AI.
• Design ETLs and ELTs for data transformations.
• Design, build and manage data lakes architectures.
• Work with Hadoop projects (Spark, Hive, Pig, Oozie, Airflow).
• Integrate and test data solutions and document tests.
• Work with Big Data environments and data governance.
• Analyze data for ML workloads and monitor applications.

Conocimientos

ETL/ELT development

AWS data services

Python/R data processing

Apache Spark

English proficiency

DevOps tooling

Agile/Scrum

Infrastructure as code

Data pipelines

Herramientas

Airflow

Oozie

Terraform

CloudFormation

Git

Descripción del empleo

Netrix Global is seeking an AWS Data Engineer for its Professional Services - Data Intelligence team. You will support the development, maintenance and ongoing improvement of client data platforms, spanning lakehouse architectures, data pipelines and cloud analytics.

You’ll collaborate with data scientists and engineers, design ETLs/ELTs, manage data lakes, and work with Hadoop/Spark ecosystems. Remote-friendly Argentina location, standard business hours, with opportunities to learn and grow.