Remote Data Infrastructure Engineer

Hire Feed; Argentina; Presencial; ARS 1.500.000 - 1.900.000; Jornada completa

Descripción de la vacante

Hire Feed is seeking a Data Engineer for a remote, full-time role focused on building scalable data pipelines and infrastructure. You will design, implement, and optimize data workflows to support business insights and decision-making across teams.

The role requires experience with SQL, ETL/ELT tools, data modeling, and cloud platforms (AWS, GCP, Azure). You will collaborate with data scientists and analysts to ensure data quality and accessibility.

Formación

• Proficiency in SQL and experience with relational and NoSQL databases.
• Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
• Knowledge of data modeling and warehouse design principles.

Responsabilidades

• Design, develop, and optimize data pipelines to extract, transform, and load large datasets.
• Implement and maintain data warehouses and data lakes to support analytical and operational reporting.
• Collaborate with data scientists and analysts to ensure data accessibility and integrity.
• Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.
• Document data architecture, processes, and standards for team reference and compliance.

Conocimientos

SQL

NoSQL

ETL/ELT

Airflow

Spark

Data modeling

Cloud platforms

Herramientas

Airflow

Spark

Descripción del empleo

Hire Feed is seeking a Data Engineer for a remote, full-time role focused on building scalable data pipelines and infrastructure. You will design, implement, and optimize data workflows to support business insights and decision-making across teams.

The role requires experience with SQL, ETL/ELT tools, data modeling, and cloud platforms (AWS, GCP, Azure). You will collaborate with data scientists and analysts to ensure data quality and accessibility.