Design, develop, and maintain robust data pipelines for Deposits and Treasury applications.
Work with large-scale structured and unstructured datasets using Apache Spark / PySpark.
Develop high-quality, reusable, and efficient code in Python.
Collaborate with business stakeholders to understand data requirements related to treasury products, liquidity, and deposits.
Build and optimize ETL/ELT processes for data ingestion, transformation, and integration.
Support data modelling for financial reporting and analytics use cases.
Create and maintain data visualizations and dashboards using tools such as Amazon Quicksight, Power BI, Tableau, etc.
Ensure data quality, governance, and compliance with financial regulations.
Troubleshoot performance issues and optimize data workflows.
Work closely with cross-functional teams including analysts, architects, and product owners.
