Data Engineer

What you need to know about the role-
We are seeking a talented Data Engineer 3 to join our Credit Engineering Team within the Data Org of PayPal. The candidate will be responsible for analysis, design, coding, testing and ETL Engineering

Meet our team
We are part of the Credit Organization, specializing in managing credit data and the Credit Data Warehouse (DW). Our role is crucial in generating accurate reports and insights from heterogeneous data sources.

• The candidate will interact with global cross-functional teams to address complex business requirements.
• The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple projects at the same time.

• 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, considering 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 an agile and fast-paced environment.
• Ability to deliver from coarse grained requirements.
• Be a Mentor for the junior members in the organization

• 6-8 years of experience in the IT industry, experience in Data Technology space is preferred.
• Proficiency on Google Cloud Platform , Big Data, Streaming Integrations
• Knowledge in any programming language like Python, Scala, and Spark
• Working experience in any MPP systems, should have strong SQL programming skills.
• Knowledge of data warehousing concept and Experience in any ETL tool is must
• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
• 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.

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