Senior DataOps Engineer: Build Scalable Data Infrastructure

Coderio | Software Company; Buenos Aires; Presencial; ARS 1.500.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

High autonomy

Collaborative international team

Growth opportunities

Descripción de la vacante

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join our fast-paced environment in Argentina. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, collaborating with customers to understand needs and design scalable data solutions.

Responsibilities include building Python components and Terraform modules, orchestrating APIs and cloud services on AWS, developing data models, and promoting DataOps best practices while delivering robust

Formación

• Strong proficiency in Python and Bash, with SQL fluency.
• Deep familiarity with databases, data warehouses, and data lakes.
• Experience with AWS services (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS) and modern tooling (Terraform, GitHub, Docker, dbt).
• Ability to thrive in fast iterations with strong attention to detail.

Responsabilidades

• Automation & integration: develop Python components, Terraform modules, and pipelines.
• API & system orchestration: promote APIs to extract and update data and tie infrastructures together.
• Cloud reliability & operations: deploy and maintain cloud infrastructure for reliability.
• Data modeling & documentation: create data models and technical docs.
• DataOps best practices: develop processes and improve product features.

Conocimientos

Python

Bash

SQL

Data pipelines

AWS

Terraform

GitHub

Docker

dbt

Data modeling

Herramientas

Terraform

GitHub

Docker

dbt

AWS

Descripción del empleo

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join our fast-paced environment in Argentina. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, collaborating with customers to understand needs and design scalable data solutions.

Responsibilities include building Python components and Terraform modules, orchestrating APIs and cloud services on AWS, developing data models, and promoting DataOps best practices while delivering robust