End-to-End pipeline design, build, and deploy ETL/ELT to Snowflake.
Cloud infrastructure: manage data flows in AWS (S3, Lambda, IAM).
High-scale processing: Databricks and PySpark for large workloads.
Implement the Semantic Layer: define and scale via dbt Semantic Layer or MetricFlow.
Model for Truth: modular, version-controlled dbt models for BI foundation.
Data governance & quality: automated testing and monitoring for data quality.

🎯 Requirements

Snowflake expertise: clustering, Snowpipe, streams, tasks
dbt and SQL for semantic models and metrics
Python (PySpark) and Databricks for ETL
AWS data workloads management
Git workflows and CI/CD for data
Data governance and quality focus

🎁 Benefits

Competitive compensation with employee ownership
Flexible remote/hybrid/in-office culture
Generous time off and Dim the Lights period
Wellness programs and mental health support
Learning and tuition reimbursement
Tools to do your best work and recognition program

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