Data Engineering Intern

Job Title

Data Engineering Intern

About the Business:

As data is valuable for making meaningful forecasts, the challenge is to scale and manage the volume. To meet the current and future needs, The Data Platform team has embarked on a journey to build the next-gen data platform. This platform is using the latest technologies which are proven to be versatile to meet our challenges.

Summary of the role:

We are seeking a highly motivated and talented Trainee who enjoys learning and contributing to the Data Platform eco-system.

In this role the Trainee will:

• Perform routine tasks by following specific instructions or under close supervision.
• Identify problems, assesses each situation using standard operating procedures, and makes appropriate decisions.

The Ideal candidate will:

• Have working experience with PySpark, Python and SQL a plus.
• Perform office duties as necessary.
• Assist and learns from other professionals.
• Meet with other groups of the same organization to collaborate.
• Create a variety of reports.
• Have good communication skills and can work under pressure.
• Have high attention to details.
• Have the ability to act in a confidential manner.
• Have strong Teamwork and interpersonal skills.
• Be Highly organized and methodical.

What we can offer you:

• Competitive pay
• Work onsite/hybrid
• Professional development to broaden your knowledge and enhance your skills with on-line learning hubs packed with technical and soft skills training that allow you to develop and grow.
• Enter a diverse and inclusive workplace, join one of the world's top travel technology companies and take on a role that impacts millions of travelers around the globe.

Application process:

Create your candidate profile, upload your Resume/CV and apply today!

Diversity & Inclusion

Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.