Real-Time Data Engineer — AI-Ready Lakehouse & Cloud Ops

Marvik; Municipio de Rincón de los Sauces; Presencial; ARS 129.463.000 - 182.771.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Descripción de la vacante

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join our fast-paced environment, operating at the intersection of data engineering, cloud infrastructure, and DevOps. You will interact with customers to understand their needs, extract requirements, and design scalable solutions in collaboration with a diverse, non-hierarchical team.

This high-impact role emphasizes automation, reliability, and continuous learning.

Formación

• Proficiency in Python and Bash; SQL as a core skill.
• Experience with databases, data warehouses, data lakes, and ETL pipelines.
• Strong AWS expertise and tooling (Terraform, GitHub, Docker, dbt).
• Ability to thrive in iterative environments with high attention to detail.
• Autonomy and collaboration; capable of owning projects with minimal guidance.
• Customer-facing skills to understand needs and propose solutions.

Responsabilidades

• Automation & Integration: develop Python components, Terraform modules, and pipelines.
• API & System Orchestration: use APIs to extract/update data and tie infrastructures.
• Cloud Reliability & Operations: deploy and maintain cloud infrastructure for reliability.
• Data Modeling & Documentation: create data models and technical docs.
• DataOps Best Practices & Innovation: develop policies and improve features.

Conocimientos

Python

Bash

SQL

Databases

Data Warehouses

Data Lakes

Data Pipelines

AWS (EC2, Lambda, IAM, SQS, RDS, Kines

Kinesis

Glue

EKS

Terraform

GitHub

Docker

dbt

Attention to Detail

Autonomy

Collaboration

Customer-facing

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, Technical Referent to join our fast-paced environment, operating at the intersection of data engineering, cloud infrastructure, and DevOps. You will interact with customers to understand their needs, extract requirements, and design scalable solutions in collaboration with a diverse, non-hierarchical team.

This high-impact role emphasizes automation, reliability, and continuous learning.