DataOps Engineer — AWS Cloud Pipelines & Automation

spin; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Spin seeks a DataOps Engineer to design, implement, and optimize data processes for its fintech multi-product platform on AWS. You will build scalable pipelines, automate data workflows, and ensure security and compliance while collaborating with cross-functional teams.

Ideal candidates have 3–5 years in DataOps or data engineering, strong SQL/NoSQL skills, and experience with Airflow, Kafka, and IaC tools. This position focuses on robust, scalable data solutions and continuous improvement.

Formación

• Bachelor's degree in computer science or related field.
• 3–5 years in DataOps, data engineering, or similar roles with large data volumes.
• Hands-on with DataOps tools: Airflow, Luigi, Jenkins, Kafka.
• Advanced SQL and NoSQL database administration.
• Python, Bash, and SQL scripting/automation.
• Experience on AWS cloud platform and IaC tools.
• Familiarity with Git and Agile/ITIL practices.
• Strong communication and teamwork skills.
• Intermediate English proficiency.

Responsabilidades

• Design and implement robust, scalable data pipelines.
• Develop scripts to automate data processes and reduce errors.
• Monitor data pipelines and optimize performance for reliability.
• Manage incidents and drive problem resolution in data workflows.
• Ensure data security and regulatory compliance.
• Collaborate with development, operations, and analysis teams.
• Create and maintain technical documentation on architectures and procedures.
• Optimize resource use and pursue cost reductions in data operations.
• Lead continuous improvement initiatives in data processes.
• Provide training and mentorship on DataOps best practices.
• Evaluate new technologies to enhance data operations.

Conocimientos

SQL & NoSQL administration

Scripting & automation

Git version control

Agile & ITIL understanding

Intermediate English

Educación

Bachelor's degree in Computer Science / related

Herramientas

Apache Airflow

Luigi

Jenkins

Kafka

AWS

Terraform

CloudFormation

Git

Descripción del empleo

Spin seeks a DataOps Engineer to design, implement, and optimize data processes for its fintech multi-product platform on AWS. You will build scalable pipelines, automate data workflows, and ensure security and compliance while collaborating with cross-functional teams.

Ideal candidates have 3–5 years in DataOps or data engineering, strong SQL/NoSQL skills, and experience with Airflow, Kafka, and IaC tools. This position focuses on robust, scalable data solutions and continuous improvement.