Data Engineer- FinTech

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Requirements:

• 3-5 years of experience as a Data Engineer, preferably in financial services.
• Strong expertise in SQL, Python, and data pipeline development (ETL/ELT).
• Experience working with third-party data vendors and integrating external datasets into enterprise systems.
• Knowledge of cloud-based data solutions (AWS, Azure, or GCP).
• Understanding of credit card line assignment and small business credit data (preferred).
• Strong problem-solving skills with the ability to optimize large-scale data processing workflows.
• Clear and concise communication skills, with the ability to present findings to leadership, clients, and stakeholders.

Responsibilities:

• Develop and maintain ETL pipelines to ingest, process, and integrate third-party small business data with internal datasets.
• Evaluate third-party data sources, ensuring data quality, completeness, and reliability for credit analysis.
• Optimize data workflows to support credit line assignment decisions and enhance data-driven insights.
• Implement data validation, transformation, and storage solutions for structured and unstructured data.
• Support data testing and troubleshooting to ensure accuracy and reliability in reports.
• Collaborate with data scientists and analysts to develop data models, conduct A/B testing, and generate insights.
• Ensure compliance with data security and governance policies, particularly in the financial services sector.