Data Engineer

What you need to know about the role

We are seeking a talented Data Engineer to join our ARP Engineering Team within the Data Org of PayPal. The candidate will be responsible for analysis, design, coding, and testing of the Data applications and ETL Engg. The role demands the individual to the technical skills required to perform the job in an effective manner. The individual should be motivated, possess creative problem-solving skills, The candidate should have passion for data analytics.

Meet our team

ARP is part of DAIS - Data Foundational Services, a centralized platform system for providing all financial KPIs, Accounting and Regulatory data needs, Reporting and Recon platforms, Ledger Maintenance, catering data analytics for different groups within PayPal including SLT.

• Work with the top engineering talents to solve the tech challenges including high scalability using the cutting-edge cloud and big data technologies
• Code is well-commented, easy to maintain, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version
• Code is thoroughly tested with very few bugs and is supported by unit tests.
• Should be comfortable working in an agile environment and with cross-functional teams, should have appetite to learn and be flexible to pick up new technology

• Participating and collaborating with teams in the organization to understand the business requirements and to deliver solutions that can scale.
• Approaching the problem, considering all possibilities and options.
• 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.

• 2-4 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 Java, Python, Scala, and Spark
• Working experience in an Agile methodology is highly preferred.
• Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.
• Knowledge and Working experience on Cloud platforms is highly preferred

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