PayPal LE Big Data Engineer in San Jose, California

LE Big Data Engineerin San Joseat PayPal

Date Posted: 12/11/2018

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Job Snapshot

  • Employee Type: Full-Time

  • Location:

  • Job Type:

  • Experience: Not Specified

  • Date Posted: 12/11/2018

  • Job ID: R0037336

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 254 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.

Does it excite you to work on systems that process billions of dollars in payments per year in 195+ countries? How about making an impact on 200 million+ PayPal users around the world?

PayPal Core Payment is looking for a talented, creative, and passionate engineer to help automate and operationalize payments data for business processes and insight. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building performance efficient, highly scalable, configurable and available systems. You will work in an agile environment with a focus on problem solving and engineering excellence.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Create and maintain optimal data pipeline architecture.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.

  • Execute and Automate Extract, Transform & Load operations on large datasets.

  • Work with stakeholders including the management, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Keep data separated, isolated and secured.

  • Participate in establishing best practices while team is transitioning to new technologies, tools and infrastructure.

  • Recommend and implement process improvements.

  • Maintain specifications and metadata; follow and develop best practices.

  • Coach and technically train new hires, if needed

  • Prepare and review operational reports or project progress reports.

  • Assist in the daily operations of the Architecture Team (a functional unit within the Business Intelligence Group), analyzing workflow, establishing priorities, developing standards, and setting deadlines.

  • Continued growth as a technical expert in data integration technologies and solutions.

  • Work with cross functional operations teams such as systems, storage and network to design technology stacks

  • Exhibits strong business knowledge and builds strong customer relationships

Skills Required:

  • 5-10 Years of experience of the Eco system such as schedulers, databases,

Linux/Unix systems, ETL, PL/SQL, Python, other ETL tools

  • Experience in exception remediation flows in informatica workflows and scripts.

  • Data warehousing experience, data models, Database design etc.

  • Practical experience with Git

  • Comfortable working with open source tools in a Unix/Linux environment

  • Comfortable handling large amounts of data

  • Works independently without the need for supervision.

  • Experience with Hadoop environment, Hive/Presto is a 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.


Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.