Senior Data Engineer
USA - Florida - Virtual
PayPal
Verwende dein PayPal-Konto, um zu bezahlen, Geld zu senden und zu verwalten. Oder erstelle dir ein Händlerkonto für dein Unternehmen. Und noch vieles mehr.At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
As a Data Engineer on our team, you'll work with data loads from a variety of sources including internal data sources and files from external partner/vendors. The data is used for analytics, building credit models, financial reporting, and transmission to business partners/vendors.Meet our team:
We are the Data Team within PayPal Credit and more specifically, the Credit Platform Team. Our team supports PayPal Credit products including BNPL loans, credit cards, and merchant loans.
Your way to impact:
• Handling high-performance data loads at large scale
• Using automation to improve the accuracy and correctness of our data loading processes. We need ways to easily create test data and then write tests to validate the accuracy of our data loads.
Job Description:
Your day-to-day:
- Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from various sources into downstream systems, ensuring scalability and efficiency.
- Implement automated data quality checks and validation processes to ensure data integrity and accuracy at scale.
- Troubleshoot data-related issues, identify root causes, and implement solutions in a timely manner to minimize impact on data processing.
- Stay current with emerging technologies and trends in data engineering, recommending and implementing improvements as necessary to support scalability and growth.
What you need to bring:
- Proven experience as a Data Engineer or similar role, with a strong background in database development, ETL processes, and software development.
- Proficiency in SQL and Python scripting, with hands-on experience working on relational databases.
- Proficiency in PySpark, Pandas, or other data processing libraries.
- Familiarity with data warehousing concepts and tools, such as AWS Redshift, Google BigQuery, or Snowflake, and experience optimizing performance for large-scale data processing.
- Experience with data modeling, schema design, and optimization techniques for scalability.
- Experience with Unix/Linux operating systems and shell scripting.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
Click Here to learn more about our culture and community.
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.com.
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 paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS BigQuery Data pipelines Data quality Data Warehousing Engineering ETL Linux Pandas Pipelines PySpark Python RDBMS Redshift Shell scripting Snowflake SQL
Perks/benefits: Flex hours Health care Insurance
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