Snowflake, SQL, Python Expert

• Develop and maintain ETL pipelines to ingest, transform, and process data using Snowflake

• Write optimized and scalable SQL queries for data extraction, analysis, and transformation

• Use Python for data processing, automation, and integration across data systems

• Design and maintain data warehousing solutions aligned with business and technical requirements

• Collaborate with data analysts and stakeholders to gather requirements and deliver data solutions

• Monitor, troubleshoot, and optimize data pipelines and Snowflake performance

• Ensure data quality, integrity, and security across all data engineering processes

• Implement best practices for data modeling, storage, and pipeline optimization

• Work with data integration tools and frameworks to support end-to-end data flow

• Stay updated with modern data engineering tools, technologies, and industry trends

• Support continuous improvement of ETL processes and automation frameworks

• Work collaboratively in agile teams with strong communication across technical and non-technical stakeholders