Senior Data Engineer - Airflow & Data Pipelines (Remote)

Capgemini; Mexico; Hybrid; PHP 4,299,754 - 5,528,255; Full time

Benefits offered by this job

Private Health Insurance

Paid Time Off

Flexible work arrangements

Training & Development opportunities

Job summary

Capgemini in Pampanga, Mexico, is seeking a Data Platform Specialist to build and maintain automated workflows using Apache Airflow. The role includes designing optimized data pipelines and collaborating across teams. Ideal candidates will have 4-6 years of experience, a Bachelor's degree in IT or related fields, and must be fluent in English. The position offers competitive pay, flexible work arrangements, and additional benefits like private health insurance and paid time off.

Qualifications

• 4-6 years of experience in a similar role.
• Fluency in English is mandatory.
• Availability for CST or PST time zones.

Responsibilities

• Build and maintain automated data workflows using Apache Airflow.
• Implement end-to-end data pipeline projects.
• Document workflows and solutions for team knowledge sharing.

Skills

Airflow

Python

DynamoDB

Amazon RDS

Snowflake

Jenkins

Education

Bachelor's degree in IT, Information systems, or Computer Science

Tools

Apache Airflow

CI/CD with Jenkins

Job description

Capgemini in Pampanga, Mexico, is seeking a Data Platform Specialist to build and maintain automated workflows using Apache Airflow. The role includes designing optimized data pipelines and collaborating across teams. Ideal candidates will have 4-6 years of experience, a Bachelor's degree in IT or related fields, and must be fluent in English. The position offers competitive pay, flexible work arrangements, and additional benefits like private health insurance and paid time off.