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Senior Big Data Engineer - PayPal


San Jose, California
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Job Details

ayPal is currently hiring a Senior Big Data Engineer to work in our San Jose, CA office. This is a great opportunity for you to join a high performing team of technologists to scale out a data platform powered to support the PayPal’s state of the art analytics, data science, risk management capabilities.


Job Responsibilities

  • Design, develop, test and debug large scale complex data platform using cloud and big data technologies Analyze, Engineer and improve stability, efficiency, and scalability of the platform
  • Work closely with Architects, lead engineers and business on product design and features.
  • Prototype ideas quickly using cutting edge technologies


Qualifications And Requirements

  • Bachelor’s or Master’s degree or equivalent in computer science or related field with minimum of 8 years of directly related work experience.
  • Experience with Unix/ Linux and shell scripting
  • Experience of developing large distributed systems using core Java or Scala
  • Experience in at least one scripting language such as Python or Ruby.
  • Experience with big data technologies like Hadoop Map Reduce, Hive, Spark/Storm
  • Experience with Kafka, Elasticsearch, Druid is a plus
  • Knowledge and experience working with various data sources like web services (rest, soap), unstructured data files, flat files, message queues, xml based events, databases.
  • Excellent verbal and written communication skills.
  • Leads product design and code reviews; can competently review any aspect of their product or major sub-system.
  • Drives architecture discussions, and proposes solutions to system and product changes.
  • Produces clear, well-communicated, complete designs for product features or sub-systems.
  • Motivated and interested delivering results, especially in the area of writing high-performance, reliable and maintainable code.
  • Ability to adapt to new development environments, changing business requirements and learning new systems highly desired.
  • Experience with large distributed services is a plus as is building/operating highly available systems
  • Good team player, able to effectively work across multiple teams on solutions that have complex dependencies and requirements in a fast-paced environment
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