Senior DataOps Engineer: Cloud Automation & Data Pipelines

Coderio; Neuquén; Presencial; ARS 135.820.000 - 226.367.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

High autonomy to design and implement

International collaborative team

Competitive growth opportunities

Descripción de la vacante

Coderio is seeking a Sr Data Ops Engineer to join our high-impact team. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, collaborating with customers to translate needs into scalable data solutions.

You will design and implement data pipelines, automate workflows, and ensure robust cloud-based operations with a focus on continuous learning and excellence. This role emphasizes autonomy, collaboration, and delivering measurable impact for our

Formación

• Development & scripting: Python and Bash; SQL as a core language.
• Data ecosystems & pipelines: databases, warehouses, data lakes; strong data pipeline skills.
• Cloud & tooling mastery: AWS (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS); Terraform, GitHub, Docker, dbt.
• Mindset & work style: thrives on fast iterations; strong attention to detail.
• Autonomy & collaboration: capable of owning projects; works in diverse, non-hierarchical teams.
• Customer-facing skills: can interact with customers to capture requirements and propose solutions.

Responsabilidades

• Develop Python components, Terraform modules, and pipelines to automate tools and processes.
• Promote and orchestrate APIs to extract/update data across systems.
• Deploy and maintain cloud infrastructure for reliable performance.
• Create data models and technical documentation; share best practices.
• Define DataOps policies, drive innovation, and improve product features.

Conocimientos

Python

SQL

Bash

Data modeling

Data pipelines

AWS

Terraform

GitHub

Docker

dbt

Herramientas

Terraform

GitHub

Docker

dbt

Kinesis

EC2

Lambda

RDS

Glue

EKS

Descripción del empleo

Coderio is seeking a Sr Data Ops Engineer to join our high-impact team. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, collaborating with customers to translate needs into scalable data solutions.

You will design and implement data pipelines, automate workflows, and ensure robust cloud-based operations with a focus on continuous learning and excellence. This role emphasizes autonomy, collaboration, and delivering measurable impact for our