Data Engineer

PayPal is a global digital payment platform that connects merchants and consumers in approximately 200 markets, enabling secure and simple financial transactions.
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer

PayPal is seeking a Data Engineer to join their Data Governance Engineering team, focusing on revolutionizing data management and utilization. This role involves working with advanced data governance solutions, including Data Allowance Management, Data Lineage, Data Catalog, and Data discovery platforms. The position requires 2+ years of IT experience, with a strong foundation in data technologies including Google Cloud Platform, Big Data, and various programming languages. The ideal candidate will collaborate with global cross-functional teams, handle complex business requirements, and demonstrate creative problem-solving abilities. PayPal offers a balanced hybrid work model with 3 days in office and 2 days flexible, along with comprehensive benefits including health insurance, equity options, and career development opportunities. The company's mission focuses on building an equitable and inclusive global economy, serving over 400 million consumers and merchants across 200+ markets. This role presents an opportunity to impact global financial services while working with cutting-edge data technologies in a collaborative, inclusive environment.

Last updated 2 hours ago

Responsibilities For Data Engineer

  • Participate and collaborate with cross functional teams to understand business requirements
  • Plan project execution effectively and efficiently
  • Problem-solving with creative and out of box thinking
  • Proactively anticipate problems and communicate with team and management
  • Support all functions of product life cycle when required
  • Work in a fast-paced environment
  • Deliver from coarse grained requirements

Requirements For Data Engineer

Python
Java
  • 2+ years of experience in IT industry, preferably in Data Technology space
  • Proficiency in Google Cloud Platform, GKE, Big Data, Streaming Integrations
  • Knowledge in Java, Python and Scala
  • Knowledge of Hadoop, Spark
  • Strong SQL programming skills
  • Knowledge of data warehousing concepts
  • Excellent written and oral communication skills
  • Strong analytical skills
  • Expertise in database programming and performance tuning
  • Experience with data warehousing architecture and data modeling
  • Experience with File Systems, server architectures, and distributed systems
  • Working experience in Agile methodology

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Equity
  • Flexible work environment
  • Employee shares options
  • Health insurance
  • Life insurance
  • Retirement benefits
  • Paid time off
  • 4-week sabbatical program
  • Career development and training
  • Mental health support
  • Company-matched giving

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