DataOps Engineer: Build Scalable Data Pipelines on AWS

Spin Careers; Ciudad de México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Spin Careers in Mexico City is seeking a DataOps Engineer to design, implement, and optimize data pipelines on AWS cloud for our fintech multi-product platform. You will automate data processes, monitor performance, and ensure secure, scalable data management across B2C and B2B domains.

You will collaborate with cross-functional teams, document architectures, lead continuous improvement, and mentor teammates while upholding Spin's culture and standards. Proficiency in English is expected.

Formación

• 3–5 years of experience in DataOps, data engineering, or a related role.
• Experience with DataOps tools and technologies such as Apache Airflow, Luigi, Jenkins, Kafka.
• Advanced knowledge of SQL and NoSQL database administration.
• Proficiency in scripting and automation (Python, Bash, SQL).
• Experience with cloud platforms (AWS, Azure, Google Cloud), specifically AWS.
• Familiarity with infrastructure as code tools (Terraform, CloudFormation).
• Experience using version control systems (Git).
• Knowledge of Agile methodologies and ITIL principles.
• Excellent communication skills and ability to work in a team.
• Strong analytical and problem-solving skills.
• Ability to manage multiple tasks and priorities effectively.
• High organizational skills and attention to detail.
• Mentorship and professional development.
• Intermediate English proficiency

Responsabilidades

• Design, implement, and optimize robust data pipelines for ingestion, processing, and analysis of large data volumes.
• Automate data processes with scripts and orchestration tools to reduce errors.
• Monitor data pipelines and resolve issues to ensure availability and reliability.
• Manage incidents related to data processes to minimize business impact.
• Ensure data security and regulatory compliance across platforms.
• Collaborate with development, operations, and data analysis teams to deliver effective data solutions.
• Document data architectures, configurations, procedures, and best practices.
• Optimize resource usage and monitor cost efficiency in data operations.
• Lead continuous improvement initiatives for data workflows.
• Provide mentorship and training on new DataOps tools and practices.
• Evaluate new technologies and tools to enhance data operations.
• Develop data management policies and procedures for reproducibility.
• Foster autonomous teams and a culture of accountability and problem-solving.
• Serve as Spin Culture Ambassador, promoting diversity and positive work environment.

Conocimientos

DataOps

SQL

NoSQL

Python

Bash

Git

Airflow

Luigi

Jenkins

Kafka

AWS

Azure

Google Cloud

Terraform

CloudFormation

Agile

ITIL

Communication

Teamwork

Multitasking

English

Educación

Bachelor's in Computer Science

Bachelor's in Systems Engineering

Bachelor's in Information Technology

Bachelor's in Mathematics

Herramientas

Terraform

CloudFormation

Git

Airflow

Luigi

Jenkins

Kafka

Descripción del empleo

Spin Careers in Mexico City is seeking a DataOps Engineer to design, implement, and optimize data pipelines on AWS cloud for our fintech multi-product platform. You will automate data processes, monitor performance, and ensure secure, scalable data management across B2C and B2B domains.

You will collaborate with cross-functional teams, document architectures, lead continuous improvement, and mentor teammates while upholding Spin's culture and standards. Proficiency in English is expected.