At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Summary: The BigData Platform Engineering Team is looking for a highly talented, self-driven, proven engineer/lead to help design and build BigData platforms that deal with data at hundreds of petabyte scale in on-premise and public cloud. As lead engineer in this group, you would get to work on BigData & cloud technologies and solve the problems around building, managing, governing, automating and monitoring elastically scalable compute infrastructure for data scientists. : 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 300 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 BigData Platform Engineering Team is looking for a highly talented, self-driven, proven engineer/lead to help design and build BigData platforms that deal with data at hundreds of petabyte scale in on-premise and public cloud. As lead engineer in this group, you would get to work on BigData & cloud technologies and solve the problems around building, managing, governing, automating and monitoring elastically scalable compute infrastructure for data scientists. What you will work on:
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