- Designing and developing data pipelines that move, transform, and validate client data across cloud platforms
- Supporting Snowflake and Cortex implementation activities by configuring datasets, schemas, and processing logic
- Writing and tuning SQL queries to improve data retrieval, performance, and troubleshooting outcomes
- Assisting with data integration, data modeling, and warehouse development for analytics and reporting use cases
- Working across wide-ranging client environments to gather requirements and translate them into technical data solutions
- Applying Python and cloud services such as AWS, Azure Data Factory, and Databricks to automate engineering tasks
- Monitoring data quality checks and resolving pipeline issues that affect completeness, consistency, and usability
- Documenting technical processes, data flows, and solution components to support delivery and maintenance