Senior Data Engineer

As a Senior Data Engineer, you will:

• Design, develop, test, and maintain scalable data pipelines and data products supporting Enterprise Credit Risk initiatives.

• Build and optimize batch and real-time data processing solutions using modern cloud and lakehouse technologies.

• Partner with Risk, Product, Data Science, and Engineering teams to understand business requirements and translate them into technical solutions.

• Develop reusable frameworks, components, and engineering patterns that improve development efficiency and platform consistency.

• Implement data quality controls, monitoring, alerting, and observability capabilities to ensure data reliability and trustworthiness.

• Support the migration and modernization of existing data assets and workloads into Databricks and cloud-native platforms.

• Build and maintain curated datasets that support lending decisioning, portfolio risk management, and advanced analytics use cases.

• Participate in architecture discussions and contribute technical recommendations for platform enhancements.

• Troubleshoot production issues and drive root cause analysis to improve platform reliability and performance.

• Follow engineering best practices for code quality, testing, deployment automation, security, and operational excellence.

• Mentor junior engineers through code reviews, technical guidance, and knowledge sharing.

• Continuously evaluate opportunities to improve scalability, performance, cost efficiency, and maintainability of data platforms.

All About You

Essential Skills & Experience

• Strong experience developing and maintaining enterprise-scale data engineering solutions.

• Hands-on experience with Databricks, Apache Spark, PySpark, Hadoop, SQL, and Python.