Skills and Experience Required:

• 5-10 years of experience in developing and implementing data solutions using Snowflake.
• Strong proficiency in SQL for complex queries, stored procedures, and performance tuning.
• Hands-on experience in ETL/ELT development, data ingestion, and transformation using Snowflake features (Stages, Streams, Tasks).
• Familiarity with Snowflake architecturevirtual warehouses, micro-partitions, Time Travel, and data sharing.
• Experience integrating Snowflake with multiple data sources (on-prem databases, APIs, cloud storage like AWS S3/Azure Data Lake).
• Knowledge of performance optimization techniques and cost management in Snowflake.
• Exposure to Python or other scripting languages for automation and orchestration.
• Understanding of security best practicesRBAC, masking, encryption, and compliance standards.
• SnowPro Core certification preferred.
• Strong problem-solving and communication skills
• Excellent communication, presentation, and interpersonal skills
• Experienced in working in a customer facing role

Role & responsibilities:

• Develop and maintain data pipelines for ingestion, transformation, and loading into Snowflake.
• Implement optimized SQL queries and stored procedures for analytics and reporting.
• Integrate Snowflake with various data sources ensuring secure and reliable data flow.
• Apply best practices for performance tuning and cost optimization of virtual warehouses.
• Implement security measures including RBAC, data masking, and encryption.
• Collaborate with data engineers and architects to deliver scalable and efficient solutions.
• Troubleshoot and resolve issues related to data ingestion, transformation, and query performance.
• Document technical solutions and provide support for deployments and enhancements.
• Stay updated on Snowflake features and enhancements to improve solution capabilities.