Who we are

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. We're a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We're guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

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Job Description Summary:
The Data Engineer will be responsible for providing data solution and implementation of all programs under PayPal FLOD Internal Control Center of Excellence (COE). Responsibilities will consist primarily of understanding business requirements and data requirement, build data model, design and build statistical and machine learning models to support complaints programs. This role requires effective communication, rich data analytics experience and familiarity with BI development systems and reporting tools.

Assist with growing Machine Learning capabilities to support customer pain points and complaints within PayPal and work with product and business teams to integrate solutions.

Job Description:

Key Responsibilities:

• Work with extremely talented peers in a fun environment building performance efficient, highly scalable, configurable solutions spanning multiple technologies and platforms -Teradata, Python, ETL, Microstrategy, Tableau, PowerBI, Shell, SQL Server etc.
• Design, develop, and operate highly scalable, high-performance, low-cost, and accurate data pipelines for data analytics
• Building statistical and machine learning models for complaints, prediction and classification.
• Identify and adopt best practices in data processing, reporting, and analysis: data integrity, test design, validation, and documentation.

Job Description:

• Works 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.
• Supports 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.
• Good understanding of Data Warehousing and Business Intelligence Application Design & Development
• Code is well-commented, easy to maintain, and can be reused across a sub-system or feature.
• Code is thoroughly tested with very few bugs and is supported by unit tests.
• Recognized as the go-to developer for a product or major system and is seen as a leader in their specialized field.
• Participates in discussions, proposes and discusses solutions to system and product changes that are directly related to their area of focus.
• Should be comfortable working in an agile environment and with cross-functional teams, should have appetite to learn and be flexible to pick up new technology.
• Deliver strong SQL development and maintenance techniques surrounding data movement.

Job Requirements:

• 6+ years working in data engineer or a similar role in large enterprise data warehouse teams preferred.
• 6+ years of extensive SQL skills (preferably Teradata) along with query performance tuning is required
• Use of Python with Database tools such as Hive/Hadoop or Teradata
• Experience to any of the BI tool such as (preferably Tableau, Micro strategy)
• Optimize ETL processing of extremely large datasets, Optimization for SLAs
• Possess knowledge of data warehouse architectures, ETL, reporting/analytic tools, and data security & compliance
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Experience with building data pipelines and automated scheduling for data refreshes.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Excellent oral and written communication skills with a keen sense of customer service
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Able to communicate effectively with all levels of management in a clear and professional manner; verbally and written, and possess superior people management and leadership skills

Preferred qualifications:

• Experience working with Google BigQuery
• Core statistical and neural network concepts
• Classical ML and Deep learning Algorithms and some NLP and text-based AI models experience
• Advanced Shell scripting experience

Subsidiary:
PayPal

Travel Percent:
0

Primary Location:
Omaha - Port Grace Blvd, Nebraska, United States of America

Additional Locations:
Austin - W Parmer Ln, Chandler - One Payment Way

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal's 400 million active account holders the confidence to connect and transact in new and powerful ways. 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 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 [email protected].