Senior Data Engineer – AI-Driven BI Pipelines & DataOps

Lever, Inc.; Neuquén; Presencial; ARS 136.732.000 - 197.502.000; Jornada completa

Descripción de la vacante

Coderio designs and delivers scalable data solutions for global clients. You will join a fast-paced environment as a DataOps Engineer, working at the intersection of data engineering, cloud infrastructure, and DevOps to deliver robust data operations.

You will build Python components, Terraform modules, and pipelines, promote API-driven data flows, and maintain reliable AWS infrastructure. Strong emphasis on autonomy, collaboration, and customer-facing engagement.

Formación

• Strong proficiency in Python and Bash; SQL as a second language.
• Experience with databases, data warehouses, data lakes, and data pipelines.
• Hands-on with AWS (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS).
• Familiarity with Terraform, GitHub, Docker, and dbt.
• Ability to thrive in fast iterations and detail-oriented work.
• Autonomy to own projects with minimal guidance and collaborate in diverse teams.
• 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 API usage to extract/update data 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 drive improvements.
• Customer-Facing Skills: Interact with customers to understand needs and propose solutions.

Conocimientos

Python

Bash

SQL

Data modeling

Data pipelines

Terraform

GitHub

Docker

dbt

AWS

Herramientas

Terraform

GitHub

Docker

dbt

AWS

Descripción del empleo

Coderio designs and delivers scalable data solutions for global clients. You will join a fast-paced environment as a DataOps Engineer, working at the intersection of data engineering, cloud infrastructure, and DevOps to deliver robust data operations.

You will build Python components, Terraform modules, and pipelines, promote API-driven data flows, and maintain reliable AWS infrastructure. Strong emphasis on autonomy, collaboration, and customer-facing engagement.