Senior DataOps Engineer - Real-Time Data Pipelines

Jampp; Neuquén; A distancia; ARS 91.385.000 - 137.078.000; Jornada completa

Descripción de la vacante

Coderio is seeking a motivated DataOps Engineer to join our high-impact team in Argentina. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, designing and deploying scalable data solutions for international clients.

You will work hands-on, collaborate across teams, and engage with customers to extract requirements, proposing robust data operations and automation strategies to improve product features.

Formación

• Strong proficiency in Python and bash, and fluency in SQL as a second language.
• Deep familiarity with databases, data warehouses, and data lakes, and data pipelines.
• Strong knowledge of AWS environments and tooling, including Terraform, GitHub, Docker, and dbt.
• Ability to thrive with rapid iteration and strong attention to detail.
• Autonomy in delivering projects while collaborating in a diverse, non-hierarchical team.
• Customer-facing skills to understand needs and propose technical solutions.

Responsabilidades

• Automation & Integration: Develop Python components, Terraform modules, and pipelines to automate tools and processes.
• API & System Orchestration: Promote APIs to extract and update data, trigger and monitor processes.
• Cloud Reliability & Operations: Deploy and maintain cloud infrastructure for performance and reliability.
• Data Modeling & Documentation: Create data models and technical docs for users.
• DataOps Best Practices & Innovation: Define DevOps/DataOps policies and propose improvements.

Conocimientos

Python

Bash

SQL

Herramientas

AWS EC2

AWS Lambda

AWS IAM

AWS SQS

AWS RDS

AWS Kinesis

AWS Glue

AWS EKS

Terraform

GitHub

Docker

dbt

Descripción del empleo

Coderio is seeking a motivated DataOps Engineer to join our high-impact team in Argentina. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, designing and deploying scalable data solutions for international clients.

You will work hands-on, collaborate across teams, and engage with customers to extract requirements, proposing robust data operations and automation strategies to improve product features.