Job Description
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.
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.
Desired Skills:
Knowledge in AI/ML is a desirable skill.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.