Required Skills And Qualifications

- Design and architect enterprise-scale Snowflake data platforms and ETL/ELT solutions.
- Expert-level hands-on experience with Snowflake, SQL, ETL/ELT, data warehousing, and data modeling.
- Build highly scalable and optimized pipelines using Snowflake SQL, Streams, Tasks, Snowpipe, Agile Tables, and Stored Procedures.
- Strong expertise in ETL tools such as Matillion, Informatica, Talend, dbt, or Azure Data Factory.
- Drive performance tuning, query optimization, cost optimization, security, governance, and data quality in Snowflake.
- Design complex batch and real-time data pipelines integrating cloud, APIs, databases, and enterprise applications.
- Strong knowledge of AWS/Azure/GCP, data lake architecture, CI/CD, Git, and DevOps practices.
- Lead technical architecture, code/design reviews, troubleshooting, and mentor senior data engineers.
- Ability to independently solve complex data engineering and Snowflake architecture problems and provide enterprise-grade solutions.

(ref:hirist.tech)

📌 Netoyed - Snowflake Architect - Data Engineering (Delhi)
🏢 Netoyed
📍 Delhi