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FBS Senior Data Engineer (Airflow)
Capgemini —México
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Inglés
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
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FBS Senior Data Engineer (Airflow)

Capgemini -
México

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Informática
Inglés
Sistemas de información
Herramientas de automatización
Licenciatura
Capacitación
Apache
DynamoDB
RDS
Jenkins
Sensores
Python
Tecnologías de la información

Descripción completa del empleo

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

What to expect on your journey with us:

A solid and innovative company with a strong market presence
A dynamic, diverse, and multicultural work environment
Leaders with deep market knowledge and strategic vision
Continuous learning and development

Team Function

The new data platforms team will be our centralized shared services team supporting all data platforms such as Snowflake and Astronomer. They will be responsible for the strategy and implementation of these platforms as well as best practices for the business units to follow. In this case, the position is focused on Astronomer/Airflow.

Key Responsibilities

Airflow-Specific Responsibilities Build and maintain automated data workflows and orchestrations using Apache Airflow Build automation processes using Copilot to generate Airflow DAGs
Implement at least two major end-to-end data pipeline projects using Airflow Design and optimize complex DAGs for scalability, maintainability, and reliability
Create reusable, parameterized, and modular Airflow components (operators, sensors, hooks) to streamline workflow development Ensure effective monitoring, alerting, and logging of Airflow DAGs for quick issue resolution Document workflows, solutions, and processes for team knowledge sharing and training Mentor and support other team members in Airflow usage and adoption
Explain best practices, identify pros and cons, and communicate technical decisions to team members Re usable frameworks : Develop reusable frameworks, leveraging reusable concepts for efficiency and scalability Implement and utilize reusable ecosystem components, including Python & Apache Airflow, DynamoDB, Amazon RDS
Develop reusable frameworks to enforce data governance and data quality standards CI/CD : CI/CD pipeline development using re-usable frameworks and Jenkins

Requirements

Between 4-6 years of experience in a similar role
Bachelor's degree in IT, Information systems, Computer Science or a related field
Insurance Experience (Desirable)
Fluency in English
Availability to work according to CST or PST time zones.

Technical Skills

Airflow (MUST) / Astronomer (PLUS) - Advanced (5 Years)
Python - Advanced (4-6 Years) (MUST)
Snowflake – Intermediate (PLUS)
DBT - Entry Level (PLUS)
AWS Glue - Entry Level (PLUS)
DynamoDB - Intermediate
Amazon RDS - Intermediate
Jenkins - Intermediate

Other Critical Skills

Work Independently
Strategic Thinking
Guide Others
Documentation
Explain best practices
Communicate Technical Decisions

Please note that resumes must be submitted in English.

Benefits

This position comes with a competitive compensation and benefits package.

A competitive salary and performance-based bonuses.
Comprehensive benefits package.
Flexible work arrangements (remote and/or office-based).
You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
Private Health Insurance.
Paid Time Off.
Training & Development opportunities in partnership with renowned companies.

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FBS Senior Data Engineer (Airflow)

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