MTS 1, Data Engineer-2
Company Name:-
PayPal
Job Location:-
Hyderabad, Telangana
Job Summary:-
Who we are: 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 PayPals 375 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.
Job Description Summary: MTS 1, Data Engineer
Job Description:
Job Description Summary
PayPal is seeking Senior ETL Developer to join Finance and Analytical Services Team in Hyderabad.
As a member of FADS SAP team, Informatica Developer will be responsible for developing, enhancing, debugging, maintaining, and testing software applications that support business units of an organization.
Also maintain warehouse metadata and standards for future application development.
Responsibilities include:
Create Informatica mappings with PL/SQL store procedures/functions to incorporate critical business functionality to load data.
Used connected, unconnected lookup, static and dynamic cache to implement business logic and improve the performance.
Develop procedures and functions using PL/SQL and develop critical reports.
Develop mappings with XML as target and formatting the target data according to the requirement.
Create and used debugger sessions to debug sessions and create breakpoints for better analysis of mappings.
Work with various data sources-relational, flat file (fix width, delimiter) and XML.
Good understanding in all phases of SDLC from requirements gathering, architecture design, development, testing, and data migration.
Expertise in writing PERL scripts for
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