Senior ETL & Python Developer

ETL Development & Data Integration

Design, develop, and optimize ETL workflows and data pipelines to support the migration and consolidation of banking data.

Extract, transform, and load (ETL) data from heterogeneous data sources (Oracle, SQL Server, flat files, APIs, cloud storage).

Ensure data integrity, quality, and consistency throughout the migration process.

Python Development & Automation

Develop and maintain Python scripts for data extraction, transformation, validation, and automation.

Implement data processing and transformation logic using Pandas, PySpark, or SQLAlchemy.

Work with APIs to integrate external data sources where required.

Banking Data Merger & Migration

Participate in the data mapping, cleansing, and reconciliation process to ensure accurate data consolidation.

Work closely with data analysts, business users, and stakeholders to define data transformation rules and validation checks.

Troubleshoot and resolve data migration issues, performance bottlenecks, and discrepancies.

Database & Performance Optimization

Work with relational databases (Oracle, SQL Server, PostgreSQL) to optimize queries and improve data processing speed.

Implement partitioning, indexing, and caching strategies for large-scale data processing.

Ensure the security and compliance of banking data during migration.

Collaboration & Documentation

Collaborate with business analysts, data engineers, and IT teams to understand requirements and define ETL strategies.

Document ETL processes, data transformation rules, and architecture for future reference.

Support testing and validation phases by working closely with QA teams.