We're seeking an experienced Senior Snowflake & Python ETL Developer to lead the design and implementation of enterprise-scale data pipelines that drive critical business insights. In this role, you'll develop sophisticated data solutions, mentor junior team members, and establish best practices for our growing data engineering practice. This position offers the opportunity to make significant technical contributions while shaping the direction of our data infrastructure. Key Responsibilities
· Take ownership of complex data engineering initiatives from conception through production deployment.
· Develop and implement high-performance ETL frameworks using Snowflake and Python,
· Establish patterns and standards that other developers can follow while ensuring scalability, reliability, and maintainability.
· Leverage advanced Snowflake features including Snowpark , Snowpipe for real-time ingestion, streams and tasks for event-driven processing, agile tables for incremental transformations, and stored procedures for complex business logic.
· Conduct code reviews,



mentor junior and mid-level developers.
· Identify opportunities to improve data quality, pipeline reliability, and operational efficiency.
· Implement comprehensive monitoring and alerting systems,
· Develop automated testing frameworks, and self-service capabilities that empower data consumers across the organization.
Production Support:
· Participate in a rotational production support schedule (approximately one month rotations) to monitor data pipelines, respond to alerts, and resolve operational issues.
· Troubleshoot production issues, perform root cause analysis, and implement permanent fixes that prevent recurrence.
Required Qualifications
Technical Skills & Experience:
~8-10 years of progressive experience in data engineering, with at least 3 years focused on Snowflake and Python-based ETL development
~ Expert-level proficiency in Snowflake, including advanced features (Snowpipe,snowpark, streams, t

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