PayPal Software / Data Engineer Intern 

Singapore, Singapore 

744608331

Job Description:

Software Development

• Write and maintain clean, efficient, and scalable code primarily in Java and Scala for data pipelines and microservices.
• Implement microservices architecture ensuring modularity, scalability, and maintainability.
• Conduct rigorous code reviews, debugging, and develop automated tests to verify software functionality and performance.
• Develop and maintain RESTful APIs, Java services, and batch processing jobs using Spring Framework(including Spring MVC, Spring Boot/Batch where applicable) to support scalable enterprise applications.

Data Pipeline and Processing

• Build and optimize ETL pipelines to process large-scale merchant data efficiently and reliably.
• Implement complex data transformations using Apache Spark and Google Cloud Dataproc.
• Develop and manage automated workflows using Google Cloud Dataflow and Apache Beam for seamless, scalable data orchestration and processing.

Cloud Infrastructure and Data Storage

• Build and optimize data storage solutions on Google BigQuery and BigTable for fast, reliable data querying.
• Monitor and maintain Google Cloud infrastructure focusing on security, availability, and performance.

Collaboration and Integration

• Participate actively in agile development processes including code reviews, daily stand-ups, and design discussions.
• Adhere to best practices in software engineering such as version control and continuousintegration/deployment.

Preferred Qualification:

Technical Skills

• Proficient in Java and/or Scala programming languages with solid software development principles.
• Familiarity of core computer science concepts such as data structures, algorithms, software design principles, object-oriented programming, and relational database concepts.
• Knowledge of ETL processes and data pipeline development.
• Knowledge of Google Cloud technologies including BigQuery, BigTable, DataProc, and Dataflow.
• Knowledge ofbuilding and optimizing data storage solutions and managing cloud infrastructure for high availability and performance.
• Knowledge of distributed data processing frameworks such as Apache Spark, Apache Beam.
• Proficient in Java and the Spring ecosystem with experience in building REST APIs, web services, scalable microservices and batch workflows.
• Familiarity with Python programming for data processing and automation to complement Java-based Spring applications.
• Familiarity with developing automated tests to ensure software functionality and performance.
• Ability to design, develop, and manage automated workflows for seamless data orchestration.

Analytical and Collaboration Skills

• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and collaboration abilities to work with cross-functional teams, including product teams.

Nice-to-Have Qualifications

• Previous internship or project experience in data engineering.

Other Requirements

• Graduate in Dec 2026 or 2027 and pursuing a Bachelor's or Master's degree in Computer Science or a related field of study.
• Available for a 6 months full-time internship, starting on 18 May 2026.

Our Benefits:

Any general requests for consideration of your skills, please