Sr Engineer, Data

About this role

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Skills you'll use

What you'll do

• At least 5 years of experience in implementing scalable, reliable data architectures on Google Cloud Platform (GCP).
• Understand data models, warehouse structures, and data lake strategies using BigQuery, Snowflake, and GCS.
• Build cloud data warehouse solutions on Snowflake — dimensional models, virtual warehouses, clustering/micro-partition strategy, roles and row-level security — and integrate Snowflake within the broader GCP data ecosystem.
• Follow best practices for schema design, partitioning, and clustering for performance optimization.
• Very Strong Experience in Python, SQL, PySpark.
• Strong hands-on expertise with Snowflake, including advanced SQL, performance and cost tuning, and secure data sharing.
• Build and maintain end-to-end ETL/ELT pipelines using GCP services such as: BigQuery, WorkFlow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer.
• Develop batch and real-time data processing pipelines.
• Implement CI/CD pipelines for data workflows using Cloud Build / Terraform.
• Ensure high performance, reliability, and fault tolerance in pipelines.

About Micron

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