Real-Time DataOps Engineer for FinTech Pipelines

Jobtailor

Municipio de Rincón de los Sauces

Presencial

ARS 1.800.000 - 2.800.000

Jornada completa

14 días+
Generador de candidaturas

Una candidatura hecha para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.

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Descripción de la vacante

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join a fast-paced environment, working at the intersection of data engineering, cloud infrastructure, and DevOps.

You will interact with customers to understand needs, extract requirements, and design scalable data operations, while contributing hands-on to deliver robust solutions in a collaborative, non-hierarchical setup.

Formación

  • Development and scripting in Python and Bash; SQL as a core skill.
  • Experience with data ecosystems, data warehouses and data lakes.
  • Cloud and tooling mastery across AWS services and DevOps tech.

Responsabilidades

  • Automation & integration: develop Python components, Terraform modules, and pipelines to connect tools.
  • API & system orchestration: leverage APIs to extract, update data, trigger and monitor processes.
  • Cloud reliability & operations: deploy and maintain cloud infrastructure for performance and reliability.
  • Data modeling & documentation: create data models and technical docs and best practices.
  • DataOps practices & innovation: define policies, processes, and improvements for DevOps and DataOps.

Conocimientos

Python
Bash
SQL
Data pipelines
Cloud AWS
Terraform
Docker
dbt
GitHub
Automation

Herramientas

AWS (EC2)
Lambda
IAM
SQS
RDS
Kinesis
Glue
EKS
Terraform
GitHub
Docker
dbt

Descripción del empleo

Coderio is seeking a motivated DataOps Engineer, Technical Referent to join a fast-paced environment, working at the intersection of data engineering, cloud infrastructure, and DevOps.

You will interact with customers to understand needs, extract requirements, and design scalable data operations, while contributing hands-on to deliver robust solutions in a collaborative, non-hierarchical setup.

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