Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
Own and manage cost optimization for Product and Data Science team operations.
Optimize pipelines for performance, reliability, and efficiency.
Build and maintain dashboards and reporting platforms using Streamlit.
Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
Work with modern AI tools, including Cursor, to accelerate development.

🎯 Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and
Advanced proficiency in Python, with experience scripting and automating data workflows.
Proven experience working with Spark for large-scale data processing.
Demonstrated experience building Streamlit applications integrated with Snowflake.
Strong command of SQL for complex data querying and analysis.

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