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Summer Intern Big Data Platform Engineer, Java/Go

We are looking for motivated interns to join our Big Data Team in Peak office for 2 months during this summer. Peak's Big Data Engineering Team works with data at an incredible scale that helps us improve the quality of our products. This is a great opportunity to touch software development, data processing and service operations. As a Big Data Engineering Intern you will work with more senior engineers in building, extending and optimizing performance of existing data pipelines.

What you'll learn during your internship

• Support the team in designing and building data processing architecture in the cloud
• Work well as an individual and as part of a team that loves to deploy best practices
• Learn how to build an automated and scalable data pipeline
• Being involved in projects and being part of a dynamic environment
• Participate in weekly planning and review meetings
• Great attitude towards learning new skills and applying them in projects
• Develop strong engineering skills and programming fundamentals
• Working with multiple tasks that need strong analytical and problem-solving skills with an attention to detail

Here's what you'll need

• Being enrolled in university and currently in your 3rd or 4th year of Computer Science / Computer Engineering or a related field of studies
• Have a schedule that allows you to work in Peak office for 2 months full-time during summer
• Ready to use the academic knowledge in a fast-paced, real hands-on environment
• Have a real passion for software engineering, as demonstrated by previous internships, work experience or projects
• Have a deep understanding of data structures, in particular how they are implemented and how to apply them to solve problems
• Prior experience with Python and Go will be an advantage
• Some practical experience working on AWS or another cloud provider
Hiring process

You can apply for Summer Intern Big Data Platform Engineer, Java/Go position between January 12th - February 20th. Once you have been selected, you will get a technical assignment through HackerRank to assess your engineering skills.

Following your assessments the next steps will be:

• Remote interview with HR and Tech
• Lead Remote final interview

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