Analytics Engineer — SQL/BI/DBT, DataOps & Cloud

Darwoft; Municipio de Rincón de los Sauces; A distancia; ARS 90.547.000 - 135.820.000; Jornada completa

Descripción de la vacante

Coderio seeks a motivated DataOps Engineer, Technical Referent to join our fast-paced team. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, interacting with customers to understand needs and design scalable data solutions.

You will contribute hands-on technical work while developing automated pipelines, APIs, and reliable cloud services, collaborating across teams to deliver robust data operations.

Formación

• Proficiency in Python and Bash; SQL fluency as a second language.
• Experience with databases, data warehouses, data lakes, and pipelines.
• Strong AWS knowledge: EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS; Terraform, GitHub, Docker, dbt.
• Thrive in iterative environments with strong attention to detail.
• Able to collaborate while owning projects autonomously.

Responsabilidades

• Automation & Integration: Develop Python components, Terraform modules, and pipelines to automate tools and processes.
• API & System Orchestration: Promote APIs to extract/update data, trigger and monitor processes, tie infrastructures together.
• Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure for performance and reliability.
• Data Modeling & Documentation: Create Data Models and technical docs for users.
• DataOps Best Practices & Innovation: Develop DataOps policies, identify opportunities, and improve features.

Conocimientos

Python

Bash

SQL

Data pipelines

AWS

Terraform

GitHub

Docker

dbt

Communication

Herramientas

Terraform

GitHub

Docker

Kubernetes

Descripción del empleo

Coderio seeks a motivated DataOps Engineer, Technical Referent to join our fast-paced team. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, interacting with customers to understand needs and design scalable data solutions.

You will contribute hands-on technical work while developing automated pipelines, APIs, and reliable cloud services, collaborating across teams to deliver robust data operations.