Python with Pyspark and SQL
Core
Design and implement efficient data solutions using Snowflake Tasks, Streams, SQL, and Snowpipe to streamline data processing workflows and ensure real-time data capture.
Role type
Senior Snowflake Data Engineer
Builds
Automated data workflows, real-time data pipelines, and scalable data architectures
Domain
Data Engineering / Cloud Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Snowflake Tasks, Snowflake Streams, Snowflake SQL, Snowpipe, data pipeline optimization, code review, technical troubleshooting, documentation
Preferred skills
Cross-functional collaboration, continuous learning of new Snowflake features, hybrid work adaptability
Technologies
Snowflake, SQL, Python, Pyspark
Responsibilities
Design and implement efficient data solutions using Snowflake Tasks; Develop and maintain Snowflake Streams for real-time data capture; Utilize Snowflake SQL for complex queries and data transformations; Implement Snowpipe for seamless data ingestion; Optimize Snowflake architectures for performance and scalability; Provide technical guidance and support to junior developers; Conduct regular code reviews; Troubleshoot and resolve technical issues related to Snowflake implementations; Stay updated with the latest Snowflake features and industry trends; Document technical processes and solutions.
Seniority
Senior, hands-on IC with mentorship responsibilities