software engineer in Shanghai at PayPal

Date Posted: 7/8/2019

Job Snapshot

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 277 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

 Job Description  Design & implement applications for real time risk models and variables based on large scale data set and high concurrency platforms  Architect & develop high performance & large data volume variable creation & simulation engine with big data technology  Handle all aspects of development - architecture, design, development, build, deployment, monitoring and operations  Requirements  2017 Master/PhD graduate in engineering related major  Strong programming skills in Java and solid knowledge of basic algorithms  Mastering at least one scripting language such as Unix Shell/Python/Perl/JS  Experience in SQL and relational database such as Oracle/Mysql/Teradata  Experience in big data technology such as Hadoop/Spark/Pig/HBASE/Streaming process is a very big plus  Hands on web application development skill (HTML5/CSS/JS) is a very big plus  Knowledge in Python, SAS & Machine Learning technology is a very big plus  Geek style is a big plus

  • Job Description
    • Design & implement applications for real time risk models and variables based on large scale data set and high concurrency platforms
    • Architect & develop high performance & large data volume variable creation & simulation engine with big data technology
    • Handle all aspects of development - architecture, design, development, build, deployment, monitoring and operations
  • Requirements
    • 2017 Master/PhD graduate in engineering related major
    • Strong programming skills in Java and solid knowledge of basic algorithms
    • Mastering at least one scripting language such as Unix Shell/Python/Perl/JS
    • Experience in SQL and relational database such as Oracle/Mysql/Teradata
    • Experience in big data technology such as Hadoop/Spark/Pig/HBASE/Streaming process is a very big plus
    • Hands on web application development skill (HTML5/CSS/JS) is a very big plus
    • Knowledge in Python, SAS & Machine Learning technology is a very big plus
    • Geek style is a big plus

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.

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