Data Engineer (Snowflake)

Overview

Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services.
• Build and optimize data warehouses using Snowflake.
• Write complex and efficient SQL queries for data transformation, analysis, and reporting.
• Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.
• Implement data governance, security, and monitoring best practices across GCP projects.
• Tune queries and optimize performance of large-scale datasets.
• Automate workflows using Cloud Composer (Airflow) or similar orchestration tools.
  
  

Required Skills & Qualifications:

• 3+ years of experience in a data engineering or data platform role.
• Strong hands-on experience with Snowflake data warehousing
• Expert-level skills in SQL — able to write optimized, scalable, and complex queries.
• Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.
• Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.
• Experience in Python or similar scripting language for data engineering tasks.
• Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.