Senior Software Data Engineer - Python Postular

JOB OVERVIEW:
We are seeking an experienced Data Engineer with strong skills in software development using Python language, SQL, AWS, and CI/CD practices, particularly Infrastructure as Code using AWS CDK. This role focuses on designing and implementing serverless data pipelines and cloud infrastructure to build end-to-end data solutions that extract, transform, and catalog data from various sources. You will collaborate closely with data science teams to ensure data accessibility and quality for their analytics and modeling initiatives.

ROLE WILL INVOLVE, BUT NOT BE LIMITED TO:
● Design and implement serverless data pipelines using AWS services
● Build and maintain data lakes and ETL processes
● Create automated deployment pipelines
● Collaborate with data science teams
● Implement data governance and security best practices

BENEFITS
● Compensatory days off to maintain a healthy work–life balance.
● Certification support to boost your professional development and continuous growth.
● Birthday bonuses, because we celebrate your personal milestones as much as your professional ones.
● Opportunity to work on projects with Fortune 100 clients, gaining exposure to world-class environments.
● Competitive salaries, aligned with the market and your talent.
● Comprehensive social security coverage, ensuring your peace of mind and well-being.

MINIMUM QUALIFICATIONS
● Python (5+ years) - Strong development background
● AWS Cloud & Services expertise (especially Lambda, S3, Athena, Glue)
● Infrastructure as Code (AWS CDK/CloudFormation)
● Data Engineering fundamentals (ETL/ELT, data modeling, pipeline design).

PREFERRED QUALIFICATIONS
● Experience with AWS Lake Formation
● AWS Datazone
● EventBridge & Step Functions knowledge
● CI/CD pipeline implementation
● API integration experience

SOFT SKILLS
● Strong analytical thinking and problem-solving abilities.
● Excellent communication and collaboration skills across technical and non-technical teams.
● Ability to self-manage and thrive in dynamic environments.
● Curiosity and a mindset of continuous learning.
● Must be able to communicate professionally in English, listening, writing and speaking.