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Data Engineer 3 in Shanghai at PayPal

Date Posted: 11/20/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Shanghai
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    11/20/2020
  • Job ID:
    R0061435

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 305 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.

The candidate will be part of EDL Engineering Team and responsible for analysis, design, coding and testing of the application code. The candidate has to interact with global cross-functional teams to address complex business requirements and it demands the individual to possess technical skills required to perform the job in an effective manner. The individual should be self-motivated, possess creative problem solving skills and have the ability to handle multiple projects at the same time. The candidate should have passion for data & analytics.This position is focused on delivering Core Data solutions using modern technology to serve the various needs of the business. The scope of the organization is global, and its data platforms serve a wide array of functions including Merchant, Partner, Operations, and Compliance business operations. At EDL, we are committed to bringing innovation, passion and customer focus to the business of enterprise solutions.

In this role, the individual will be part of the EDL (data lake)engineering team and will be responsible for.

  • Work as part of a team to design and develop code, scripts and data rails that integrate and transform data (structure / unstructured) from across multiple sources.
  • Design and build automated test frameworks to enable validation of the solution for consistency, accuracy and repeatability @scale and TTM.
  • Participate in the analysis, architecture and design of data Lake solutions.
  • Collaborate with management team to help define the engineering rigor and process and motivated to adopt it.
  • Ability to prototype ideas and demonstrate pros and cons and make recommendations using demos and slides.
  • Ability to use data to draw insights or drive decisions. Be able to explain complex technical concepts to management, product managers and other engineers.
  • Motivated and interested in 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.
  • Good team player, able to effectively work across multiple teams on solutions that have complex dependencies and requirements in a fast-paced environment
  • Excellent verbal and written communication skills.

Skills and Experience

  • A Master or Bachelor degree in computer science or equivalent with 8+ years of data engineering experience
  • Good understanding of Data Warehousing and Business Intelligence Application Design & Development.
  • Good understanding of Data Modelling Concepts.
  • Deals with both structured and unstructured data sets & hence uses different methods to data architecture and applications in building data pipeline. 
  • ETL Development including various big data technologies, open source data ingestion and processing frameworks 
  • Gains experience with various big-data technologies and solutions (Hive, Pig, Spark) to optimize processing of extremely large datasets. 
  • Excellent debugging skills with a solid understanding of data and testing to capture data quality gaps/issues.
  • Good understanding of data processing, data structure optimization and design for scalability.
  • Can be relied on to deliver a data pipeline feature/component on time and to requirements, without data quality issues.
  • Understands and is able to reason about the business requirements, as it relates to their area of expertise/SME.
  • Develops the ability to help in resolving data issues. 
  • Understanding of with version control systems, particularly GIT.
  • Strong analytical and problem solving skills.
  • Good understanding of database principles and SQL beyond just data access.
  • Proficient in scripting languages, i.e. Unix/Linux Shell Scripting

Intermediate level knowledge on following technologies, with expertise on few of them:


  • Data Transformation tools
  • Strong Database fundamentals (Oracle)
  • HBase
  • Hive/Pig
  • Scripting (Shell, Python, Java)
  • Hadoop eco system
  • Elastic search
  • Stream processing (Kafka)

Intermediate level knowledge on following business domains is a plus:

  • Payments and banking
  • Merchant servicing
  • E-commerce

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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

R0061435