PayPal Data Engineer in Tel Aviv-Yafo, Israel

Data Engineerin Tel Avivat PayPal

Date Posted: 7/11/2018

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Job Snapshot

  • Employee Type: Full-Time

  • Location:

  • Job Type:

  • Experience: Not Specified

  • Date Posted: 7/11/2018

  • Job ID: R0029948

About Us

HELP US REIMAGINE MONEY.

At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do.

We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too.

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 237 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.

Enterprise Data Services is responsible to build and deliver data transformation projects to expose and enrich data for PayPal’s teams and facilitate data movement between PayPal’s data platforms.

We are looking for looking for a talented, creative, and passionate data engineer to design and develop data solutions on one of the largest data platforms in the world. You do not only understand the data deeply, but also design&develop the enterprise-level data products and solutions for huge amount of data.

As a self-motivated and enthusiastic member of our team, you will:

•Own and 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 advanced & cutting-edge technology.

•Work with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.

•Support PayPal business units by providing data in a ready-to-use form to data analysts and data scientists for Business insights, predictive analytics, machine learning, etc.

•Collaborate with other teams or groups to identify challenges and design solutions

About You:

We know the and can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

  • BSc degree in Computer Science or Engineering

  • 1+ years working in data engineer or a similar role in large enterprise data warehouse teams preferred.

  • Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Perl, Python, C++, Java, Python, Ruby, Scala and etc.

  • Good understanding of database principles and SQL beyond just data access

  • Good understanding of Data Modelling Concepts, experience with modelling data and metadata to support relational & non-relational database implementations; experience with building Logical and Physical data models.

  • Familiar with various big data technologies, open source data processing frameworks. E.g., Spark, Hadoop, HBase, ElasticSearch, Pig, Hive, and so on.

  • Good understanding of data processing, data structure optimization and design for high scalability, availability, reliability and performance.

  • Good understanding of REST-oriented APIs, understanding of distributed systems, data streaming, Complex Event Processing, NoSQL solutions for creating and managing data integration pipelines for Batch and Real Time Data needs.

  • Work and collaborate well with executives and customers

  • Intermediate level knowledge on following business domains is a plus, E.g., Marketing, Risk, Customer Service, Payments, 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.

R0029948

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.