Senior Data Engineer - Hybrid, DataOps & Cloud Leader

BairesDev; Buenos Aires; Híbrido; ARS 185.448.000 - 278.173.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work and flexible hours

Career development opportunities

Wellbeing and global tech communities

Descripción de la vacante

Endava is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for high-volume financial and transactional data. You will engineer end-to-end data pipelines, manage cloud data warehouses, and ensure data governance across environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay. You will collaborate with Data Scientists, Software Engineers, and Product Managers to deliver robust analytics solutions in a globally distributed context.

Formación

• 5+ years in data engineering or related software engineering roles.
• Strong Python and SQL for complex data processing.
• Experience with Airflow, Snowflake, DBT, and AWS.
• CI/CD and Infrastructure-as-Code practices.

Responsabilidades

• Design, build, and maintain high-throughput data pipelines for batch and streaming data.
• Develop and optimize cloud data warehouse architectures and data models.
• Mentor junior engineers and participate in technical reviews.
• Implement data quality, monitoring, and governance across platforms.

Conocimientos

Python

SQL

Apache Airflow

DBT

PySpark

Snowflake

AWS

S3

Jenkins

GitHub Actions

Terraform

Delta Lake

Herramientas

Airflow

Snowflake

AWS

Terraform

Descripción del empleo

Endava is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for high-volume financial and transactional data. You will engineer end-to-end data pipelines, manage cloud data warehouses, and ensure data governance across environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay. You will collaborate with Data Scientists, Software Engineers, and Product Managers to deliver robust analytics solutions in a globally distributed context.