Design and develop scalable data pipelines using Snowflake.

Develop complex SQL queries, stored procedures, views, and data transformations.

Build and maintain ETL/ELT pipelines using tools such as Informatica, Talend, Matillion, or Azure Data Factory.

Work with AWS/Azure/GCP cloud services for data ingestion and processing.

Implement data modeling, data warehousing, and dimensional modeling.

Optimize Snowflake queries, warehouses, and data-processing workloads.

Implement Snowflake features such as Streams, Tasks, Time Travel, Snowpipe, and Dynamic Tables.

Ensure data quality, security, governance, and reliability.

Collaborate with data analysts, architects, and business stakeholders.

Troubleshoot production data issues and performance problems.

Required Skills Strong hands-on experience with Snowflake.

Advanced SQL and database concepts.

Experience with ETL/ELT pipelines.

Strong understanding of data warehousing and dimensional modeling.

Experience With Python Preferred. Experience with AWS/Azure/GCP.

Knowledge of Git and CI/CD.

Solid analytical and problem-solving skills.

📌 Snowflake Data engineer (Kolkata Metropolitan Area)
🏢 People Prime Worldwide
📍 Kolkata Metropolitan Area