DataOps Engineer — AWS Pipelines & Automation

Spin Careers; México; Presencial; MXN 650.000 - 900.000; Jornada completa

Descripción de la vacante

Spin Careers is seeking a DataOps Engineer to design and optimize data pipelines and workflows on AWS for fintech platforms. You will automate data processes, monitor performance, and ensure secure, scalable data management across teams.

The role emphasizes collaboration with development, operations, and analytics, plus documentation and continuous improvement in a fast-paced environment.

Formación

• Bachelors degree in CS, IT, or related field.
• 3–5 years in DataOps, data engineering or similar role, handling large data volumes and pipelines.
• Experience with DataOps tools such as Airflow, Luigi, Jenkins, Kafka.
• Advanced SQL and NoSQL database administration.
• Scripting and automation with Python, Bash, SQL.
• Cloud platforms (AWS, Azure, Google Cloud), with AWS focus.
• Infrastructure as code tools like Terraform, CloudFormation.
• Git version control experience.
• Knowledge of Agile methodologies and ITIL principles.
• Excellent communication and teamwork abilities.
• Strong analytical and problem-solving skills.
• Ability to manage multiple tasks and priorities.
• High organizational skills and attention to detail.
• Mentorship and professional development skills.
• Intermediate English proficiency.

Responsabilidades

• Design and implement robust, scalable data pipelines for ingestion, processing and analysis.
• Develop and maintain automation to optimize data processes.
• Monitor data pipelines performance and resolve issues.
• Manage incidents related to data processes and minimize impact.
• Implement security measures and ensure regulatory compliance.
• Collaborate with dev, ops and data teams to align with requirements.
• Create and maintain technical documentation for data architectures and procedures.
• Monitor resource usage and optimize costs in data ops.
• Lead continuous improvement initiatives for data processes.
• Provide training and mentorship on DataOps best practices.
• Evaluate new data technologies and tools for improvement.
• Develop policies for data management for consistency and reproducibility.
• Encourage autonomous, self-managed teams and proactive problem-solving.
• Act as Spin Culture Ambassador promoting inclusive, positive work environment.

Conocimientos

DataOps

SQL

Python

Bash

Git

Agile methodologies

ITIL

Communication

Analytical thinking

Multitasking

Educación

Bachelor's degree in Computer Science, Information Technology, or related field

Herramientas

Apache Airflow

Luigi

Jenkins

Kafka

Terraform

CloudFormation

Descripción del empleo

Spin Careers is seeking a DataOps Engineer to design and optimize data pipelines and workflows on AWS for fintech platforms. You will automate data processes, monitor performance, and ensure secure, scalable data management across teams.

The role emphasizes collaboration with development, operations, and analytics, plus documentation and continuous improvement in a fast-paced environment.