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, Agile 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.

📌 Walk-in || Snowflake AI Data Engineer (Pune)
🏢 Hexaware Technologies
📍 Pune