PayPal Data Engineer 

France, Auvergne-Rhône-Alpes 

632169034

What you need to know about the role-The candidate will be responsible for analysis, design, coding, and testing of the Data applications and ETL Engg. The candidate may have to interact with global cross-functional teams to address complex business requirements. The role demands the individual to the technical skills required to perform the job in an effective manner. The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple projects at the same time. The candidate should have passion for data & analytics.

Your day to day

In this role, the individual will be part of the Data engineering team and will be responsible for.

• Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
• Planning the execution of the project in an effective and efficient manner.
• Approaching the problem, taking into account all possibilities and options.
• Creativity and out of the box thinking is required.
• Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.
• Being flexible and being able to support all functions of product life cycle when required.
• Ability to work in a fast-paced environment.
• Ability to deliver from coarse grained requirements.

What do you need to bring-

• 2 + years of experience in the IT industry, experience in Data Technology space is preferred.
• Proficiency on Google Cloud Platform, GKE, Big Data, Streaming Integrations
• Knowledge in any programming language like Java, Python and Scala
• Knowledge of Hadoop, Spark is highly preferred.
• Working experience in any MPP systems, should have strong SQL programming skills.
• Knowledge of data warehousing concepts
• Excellent written and oral communication skills
• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
• Expertise in database programming and performance tuning techniques
• Familiar with data movement techniques and best practices to handle large volumes of data.
• Experience with data warehousing architecture and data modelling best practices
• Experience with File Systems, server architectures, and distributed systems
• Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.
• Working experience in an Agile methodology is highly preferred.

Desired Skills:

Knowledge in AI/ML is a desirable skill.

Our Benefits:

Our Benefits:

Any general requests for consideration of your skills, please