PayPal is Hiring Data Engineer
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Are you a skilled professional with 3-6 years of experience? Join our team and bring your expertise in advanced SQL/Excel data modeling, forecasting, financial acumen, and Python automation to the table. Your contributions will fuel insightful analysis and informed decision-making
Job Role and Responsibility
- Develop and maintain complex SQL queries and Excel data models to extract, manipulate, and analyse large datasets related to credit risk.
- Utilize statistical techniques and forecasting methods to identify trends, patterns, and potential risks in credit portfolios.
- Collaborate with cross-functional teams, including risk management, finance, and business intelligence, to understand requirements and deliver actionable insights.
- Design and automate reports, dashboards, and data visualization tools to present findings effectively to stakeholders.
- Stay updated on industry best practices, regulatory requirements, and emerging trends in credit risk management to enhance analytical capabilities.
- Develop and maintain Python scripts for data manipulation, automation, and integration with existing systems.
- Python scripts for data manipulation, automation, and integration with existing systems.
Skills Required that will help succeed
- Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field.
- 3-6 years of experience working in a similar role within the banking or financial services industry, with a focus on credit risk management would be an added advantage
- Advanced proficiency in SQL for data extraction, manipulation, and analysis.
- Expertise in Excel data modelling, including pivot tables and advanced functions.
- Strong understanding of financial concepts, including credit risk metrics, loan portfolios, and financial statements would be an added advantage
- Experience with data analysis, forecasting techniques and risk modelling.
- Proficiency in Python programming for automation tasks and data manipulation.
- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Experience with business intelligence tools such as Tableau or Looker
- Strong communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
- Attention to detail and ability to work effectively in a fast-paced, dynamic environment.
Recruitment Details
| Company Name | PayPal |
| Company Website | https://www.paypal.com |
| Job Role | Data Engineer |
| Job qualification | BACHELOR OF ENGINEERING |
| Work Experience | 3 -6 years |
| Salary | Best of Industry |
| Job Location | Bangalore |
What is the role of a Data Engineer at PayPal in Bangalore?
The role of a Data Engineer at PayPal in Bangalore involves designing, building, and maintaining data pipelines and infrastructure to support data processing, analysis, and reporting.
What specific responsibilities does a Data Engineer have at PayPal in Bangalore?
As a Data Engineer at PayPal in Bangalore, your responsibilities may include developing and optimizing data pipelines, integrating data from multiple sources, ensuring data quality and consistency, and collaborating with cross-functional teams to support data-driven decision-making.
How can I apply for the Data Engineer position at PayPal in Bangalore?
To apply for the Data Engineer position at PayPal in Bangalore, interested candidates can visit the company’s official careers website or job portal. They can search for available positions, review job descriptions, and submit their applications online. The recruitment team at PayPal will review applications and contact qualified candidates for further steps in the hiring process.
