Sr Engineer, Data

About the role

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.

What you'll do

• Build cloud data warehouse solutions on Snowflake — dimensional models, virtual warehouses, clustering/micro-partition strategy
• Follow best practices for schema design, partitioning, and clustering for performance optimization
• 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

What you need

• 5–9 yrs of experience
• ETL
• Snowflake
• SQL
• Data warehousing
• Python
• GCP
• Any graduate

Good to have

• Angular
• Kafka
• Machine learning
• LLMs
• React
• BigQuery