1005 - Analytics Engineer (Sql/Bi/Dbt) · Semi Senior · Remoto · Arg

Darwoft; Neuquén; A distancia; ARS 1.200.000 - 2.100.000; Jornada completa

Descripción de la vacante

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join a fast-paced team. You will work at the intersection of data engineering, cloud infrastructure, and DevOps, collaborating with customers to design scalable data solutions and deliver robust data operations.

The role emphasizes autonomy, strong attention to detail, and ability to iterate quickly while maintaining clear communication across stakeholders.

Formación

• Strong proficiency in Python and bash, and fluency in SQL as a second language.
• Experience with data ecosystems, data warehouses, and data lakes is beneficial.
• Familiarity with data ops, DevOps, and cloud automation practices is desirable.

Responsabilidades

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

Conocimientos

Python

bash

SQL

Data pipelines

Terraform

AWS

Docker

dbt

GitHub

Herramientas

Terraform

GitHub

Docker

dbt

AWS

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