Semi-Senior Analytics Engineer — Sql/Bi/Dbt, Remote

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 designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

More information:

This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands-on technical work to ensure robust data operations.

What To Expect In This Role (Responsibilities)

Automation & Integration

Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.

API & System Orchestration

Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.

Cloud Reliability & Operations

Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.

Data Modeling & Documentation

Help create Data Models, technical documents, and best practices for our users.

DataOps Best Practices & Innovation

Develop policies, processes, and best practices regarding DevOps and DataOps. You will also help identify opportunities, generate innovative solutions, and improve existing product features.

Requirements

Development & Scripting

Strong proficiency in Python and bash, and fluency in SQL as a second language.

Data Ecosystems & Pipelines

Deep familiarity with databases, data warehouses, and data lakes, as well as being adept at data pipelines and process improvement.

Cloud & Tooling Mastery

Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS. Must also be familiar with modern development tools like Terraform, GitHub, Docker, and dbt.

Mindset & Work Style

Ability to thrive in an environment with constant and quick iterations, consistently seeking out creative solutions to challenging problems. Must have strong attention to detail.

Autonomy & Collaboration

Ability to work collaboratively while also being capable of owning a project