Databricks & Gen AI
Job Description
Designing and building Databricks-based data pipelines to support banking data modernization and analytics use cases
- Developing data integration and transformation logic across cloud platforms, data lakes, and data warehouses
- Applying Apache Airflow, Azure Data Factory, and directed acyclic graphs to orchestrate, schedule, and monitor data workflows
- Building scalable data models and dimensional structures that support reporting, analysis, and AI-enabled solutions
- Tuning query performance, troubleshooting data issues, and improving data reliability across distributed environments
- Translating business requirements into technical designs for data engineering solutions in a banking context
- Interpreting complex data sets to identify patterns, risks, and opportunities for improved data processing
- Reviewing workstreams, guiding junior team members, and contributing to delivery quality across assigned tasks
- Collaborating with client stakeholders to align technical solutions with project objectives and changing business needs
- Applying Databricks, Snowflake, and cloud data engineering skills to modernize legacy data platforms