Walk-in || Snowflake AI Data Engineer

Role & responsibilities

• 4-9 years of experience in Data Engineering with strong expertise in Snowflake, SQL, Python, and Snowpark.
• Design, develop, and optimize scalable ETL/ELT pipelines and data engineering solutions on Snowflake.
• Build AI-powered applications using Snowflake Cortex, including Cortex Search, Cortex Analyst, Cortex Functions, and Snowpark ML.
• Develop semantic search and vector-based retrieval solutions, and enable integration with external AI tools.
• Implement Snowflake features such as Snowpipe, Streams & Tasks, Dynamic Tables, and Data Sharing.
• Design and maintain dimensional, Data Vault, and Star Schema data models to support analytics and AI workloads.
• Integrate Snowflake with AWS, Azure, GCP, APIs, and enterprise data sources.
• Implement data governance, security controls, RBAC, masking policies, and data quality frameworks.
• Optimize Snowflake performance, query efficiency, resource utilization, and overall platform costs.
• Collaborate with Product Owners, Analysts, and Data Engineers to deliver high-quality solutions, while supporting junior developers and ensuring timely project delivery.

Preferred Skills/Certifications:

• SnowPro Core and SnowPro Data Engineer certifications.
• Experience with DBT, Airflow, ADF, Power BI, and Agile delivery methodologies.