Description

You will build and maintain scalable data infrastructure on Google Cloud Platform, owning ETL pipelines and secure data flows.

This role is on-site.

Responsibilities

• Design, develop, and optimize scalable ETL pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Integrate and manage secure, high-performance data flows between Snowflake and BigQuery.
• Write, test, and maintain Python code for ETL, analytics, and automation tasks.
• Implement Infrastructure-as-Code using Pulumi to automate GCP resource management.
• Optimize batch and streaming data pipelines for performance, scalability, and debugging.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on expertise with GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub.
• Proficiency in Python for complex data engineering tasks.
• Deep expertise in Snowflake, including data modeling and query optimization.
• Proven experience with Pulumi or similar Infrastructure-as-Code tools.
• Solid understanding of cleanroom concepts for secure data sharing and privacy compliance.
• Experience using Git for version control and code reviews.
• Bachelor's degree required.

Key Skills

Education

Bachelor's degree