Financial Data Engineer

3 days ago


Hyderabad City Taluka, Pakistan PayPal Full time
Company Overview

PayPal is a leading global payments company that provides online payment services to individuals and businesses worldwide. With over 25 years of experience, PayPal has revolutionized commerce by creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure. Our mission is to democratize financial services and provide access to affordable and convenient payment solutions for all.

Job Description

We are seeking a highly skilled Data Engineer to join our Finance Technology and Insights organization. The successful candidate will be responsible for designing, developing, and maintaining large-scale data pipelines and workflows using technologies such as Hadoop, BigQuery, and Google Cloud Platform. Additionally, they will work closely with cross-functional teams to identify data needs and define requirements, leveraging their analytical mindset and technical expertise to deliver high-quality results in a fast-paced environment.

Key Responsibilities
  • Design, develop, and maintain data pipelines and workflows using Hadoop, BigQuery, and Google Cloud Platform.
  • Leverage S4 HANA to extract and process financial data, ensuring accuracy and completeness.
  • Optimize data architecture and implement robust data governance policies to support scalable, reliable insights.
  • Troubleshoot and resolve data quality issues, ensuring high performance and efficiency.

Requirements
  • 5+ years of experience in data engineering roles, with a focus on Hadoop, Big Query, Google Cloud Platform, and S4 HANA.
  • Demonstrated experience working with finance systems or within the fintech domain.
  • Hands-on experience with large-scale data processing and real-time data workflows.

Preferred Qualifications
  • Experience with payments platforms or finance-related domains.
  • Knowledge of financial reporting, reconciliation processes, and regulatory compliance in fintech.
  • Prior experience in product integration projects with a focus on data analytics and validation.


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