DataOps Engineer: Real-Time Pipelines & Cloud Automation

Jampp; Municipio de Rincón de los Sauces; On-site; ARS 75,697,000 - 136,254,000; Full time

Benefits offered by this job

AWS Certifications

Job summary

Coderio designs and delivers scalable digital solutions for global clients. We seek a DataOps Engineer, Technical Referent to join a fast-paced environment and lead data engineering, cloud, and DevOps efforts.

You will interact with customers to gather requirements, design scalable data solutions, and execute hands-on work to ensure robust data operations. Responsibilities include automating pipelines, API orchestration, and cloud infrastructure management, while collaborating across teams in a

Qualifications

• Proficiency in Python, Bash, and SQL.
• Experience with data warehouses, data lakes, and ETL pipelines.
• Strong knowledge of AWS services: EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS.
• Familiar with Terraform, GitHub, Docker, and dbt.
• Able to work in iterative, autonomous, customer-facing environments.

Responsibilities

• Automation & Integration: develop Python components, Terraform modules, and pipelines.
• API & System Orchestration: expose and use APIs to integrate systems and orchestrate data flows.
• Cloud Reliability & Operations: deploy and maintain cloud infrastructure for reliability.
• Data Modeling & Documentation: create data models and technical docs.
• DataOps Best Practices & Innovation: define policies and drive new data solutions.

Skills

Python

Bash

SQL

Data pipelines

Customer-facing skills

Tools

AWS

Terraform

GitHub

Docker

dbt

Job description

Coderio designs and delivers scalable digital solutions for global clients. We seek a DataOps Engineer, Technical Referent to join a fast-paced environment and lead data engineering, cloud, and DevOps efforts.

You will interact with customers to gather requirements, design scalable data solutions, and execute hands-on work to ensure robust data operations. Responsibilities include automating pipelines, API orchestration, and cloud infrastructure management, while collaborating across teams in a