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Senior Data Engineer in San Jose at PayPal

Date Posted: 9/17/2020

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Jose
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    9/17/2020
  • Job ID:
    R0058742

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 325 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.

PayPal has a real opportunity to make a difference in the financial lives of millions of people across the globe. At PayPal, we are reinventing how the world making payments. We connect people to send and receive money with the confidence of the security PayPal enables. The Decision & Analytics Management organization in Paypal is responsible for risk and customer service decision management. We are looking for a data engineer with passion in payment industry to develop data and provide data-driven solutions/products to improve decision management. Facing the complex big data challenges or problems in fraud management, understanding the enormous and heterogeneous data deeply is essential in developing a multi-latency data processes and solutions to derive system and business insights with high ATB, SLA, and short TTM.

Key Responsibilities

  • Collaborate with x-functional teams to translate business challenges into data science problems, transform data into analytical data assets, data products and actionable intelligence for faster decision making on one of the largest data platforms in the world. Responsible for requirement gathering, data model design, data ETL process design, data product development and maintenance.
  • Supports PayPal business units by providing data in a ready-to-use form to data analysts, data scientists and engineers for system/business insights, predictive analytics, machine learning, etc. Influence data instrumentation based on business requirement understanding.
  • Owns and is accountable for the design and development of a data solution feature or a data pipeline with high reliability, stability, scalability, and performance.
  • Design or develop data model and enrich the analytical data sources for further usability and availability by adopting advanced & cutting-edge technology.
  • Establish comprehensive monitoring framework, proactively identifies, investigates, and resolves data issues and challenges. Skilled in identifying root causes and providing solutions.
  • Communicates effectively, able to connect complex technical concepts/information and business requirements/implications.

Basic Qualifications 

  • BS, MS or equivalent degree in Mathematics, Statistics, Computer Science and Engineering.
  • Good understanding of Data Modelling Concepts; experienced with modelling data and metadata in relational & non-relational database.
  • Strong data analytics background, good at transform business knowledge into analytical data assets; experience with data ETL, data warehouse/data mart building is a big plus.
  • 3+ years’ experience in data engineering, software engineering or data science.
  • Strong data processing skill, High proficiency in several fundamental technical skills such as SQL, Python, PIG, Hive; Experience with Teradata or big data systems such as Hadoop, Spark. Experience in developing data processing tasks using pySpark such as reading data from sources in different format, merging data with complex conditions, performing data enrichment/transformations.
  • Proficient in Unix scripting; batch processing
  • Experienced with report analysis and development using business intelligence tools such as Tableau. Able to pick up new programming skills quickly.
  • Experience / knowledge in Machine Learning is a plus.
  • Strong interpersonal skills and capability to work successfully in a collaborative environment
  • Quick-thinker, fast learner, wide general knowledge, problem solver
  • Team worker, responsible, delivery-oriented
  • Flexibility to work early or late hours with teams in different time zone.

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.

R0058742

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