As a Sr Snowflake Developer, you will play a crucial role in designing, developing, and maintaining our data warehouse solutions using Snowflake. You will collaborate closely with cross-functional teams to understand data requirements, implement efficient data models, and ensure the scalability, reliability, and performance of our data platform. Your responsibilities will include:

• Designing and developing Snowflake data models, schemas, and pipelines to support business needs and data analytics requirements.
• Optimizing Snowflake databases and queries for performance and scalability.
• Implementing ETL processes to ingest, transform, and load data from various sources into Snowflake.
• Developing and maintaining data pipelines using Snowflake’s features such as Snowpipe, Tasks, and Streams.
• Collaborating with data engineers, analysts, and stakeholders to understand data requirements and implement solutions that meet business objectives.
• Troubleshooting and resolving data-related issues, ensuring data integrity and consistency.
• Staying updated on the latest Snowflake features, best practices, and industry trends, and incorporating them into our data architecture and processes.

KNOWLEDGE, SKILLS & ABILITIES:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Snowflake Developer or similar role, with a strong understanding of Snowflake’s architecture, features, and capabilities.
• Proficiency in SQL, with experience in writing complex queries, stored procedures, and user-defined functions in Snowflake.
• Hands-on experience with designing and optimizing Snowflake data models, schemas, and warehouses.
• Experience with ETL tools and processes, including data ingestion, transformation, and loading into Snowflake.
• Familiarity with data integration tools and techniques, such as CDC (Change Data Capture) and data replication.
• Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve data-related issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Proven ability to manage multiple tasks and priorities in a fast-paced, dynamic environment.
• Snowflake certification(s) (e.g., SnowPro Core, SnowPro Advanced) is a plus.

• Designing and developing Snowflake data models, schemas, and pipelines to support business needs and data analytics requirements.
• Optimizing Snowflake databases and queries for performance and scalability.
• Implementing ETL processes to ingest, transform, and load data from various sources into Snowflake.
• Developing and maintaining data pipelines using Snowflake’s features such as Snowpipe, Tasks, and Streams.
• Collaborating with data engineers, analysts, and stakeholders to understand data requirements and implement solutions that meet business objectives.
• Troubleshooting and resolving data-related issues, ensuring data integrity and consistency.
• Staying updated on the latest Snowflake features, best practices, and industry trends, and incorporating them into our data architecture and processes