• Data Architecture & Modeling: Designing scalable data warehouse schemas, tables, and views.
• ELT/ETL Development: Building efficient data pipelines to move data from sources (e.g., AWS S3, Azure) to Snowflake.
• Performance Optimization: Tuning SQL queries and managing virtual warehouse sizes for cost-efficient, high-performance data processing.
• Data Security & Governance: Implementing security measures, including row-level security and data masking.
• Development: Creating stored procedures and User-Defined Functions (UDFs).
• Migration: Migrating legacy databases to the Snowflake platform.

Required Skills and Qualifications.

• Snowflake Expertise: Strong understanding of SnowSQL, data loading (COPY), and data sharing.
• SQL & Programming: Advanced SQL skills and proficiency in languages like Python or Java.
• Data Modeling: Experience with data warehousing concepts (star schema, snowflake schema).
• Data Integration Tools: Experience with ETL tools (e.g., Talend, Informatica, Apache Airflow).
• Cloud Platforms: Familiarity with AWS, Azure, or GCP.

Job Summary

We are seeking a skilled Python Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have strong experience in Python, data processing, and cloud technologies, along with the ability to work with large datasets and optimize data workflows.