- We are seeking an experienced Snowflake Developer to design, develop, and optimize scalable cloud data solutions using the Snowflake data platform.

- The ideal candidate will have strong SQL expertise, hands-on experience with data ingestion and transformation, and the ability to work in a customer-facing environment to deliver high-quality analytics and reporting solutions.

Key Responsibilities :

- Develop and maintain end-to-end data pipelines for ingestion, transformation, and loading into Snowflake.

- Design and implement optimized SQL queries, views, and stored procedures to support analytics and reporting use cases.

- Integrate Snowflake with multiple data sources, including on-prem databases, APIs, and cloud storage platforms such as AWS S3 and Azure Data Lake.

- Implement and manage Snowflake features such as Stages, Streams, Tasks, and Time Travel for efficient ELT workflows.

- Apply performance tuning and cost optimization techniques for virtual warehouses.

- Implement security best practices, including RBAC, data masking, encryption, and compliance controls.

- Collaborate with data engineers, architects, and business stakeholders to deliver scalable and reliable data solutions.

- Troubleshoot and resolve issues related to data ingestion, transformations, and query performance.

- Create and maintain technical documentation for solutions, deployments, and enhancements.

- Stay current with Snowflake platform enhancements and best practices to continuously improve solution capabilities.

Required Skills & Experience :

- 5-10 years of experience developing and implementing data solutions using Snowflake.

- Strong proficiency in SQL, including complex queries, stored procedures, and performance tuning.

- Hands-on experience with ETL/ELT development using Snowflake capabilities :

1. Stages

2. Streams

3. Tasks

- Solid understanding of Snowflake architecture, including :

1. Virtual Warehouses

2. Micro-partitions

3. Time Travel

4. Data Sharing

- Experience integrating Snowflake with :

1. On-prem databases

2. REST APIs

3. Cloud storage platforms (AWS S3, Azure Data Lake)

- Knowledge of performance optimization and cost management strategies in Snowflake.

- Exposure to Python or other scripting languages for automation and orchestration.

- Strong understanding of Snowflake security, including RBAC, masking policies, encryption, and compliance standards.

- Experience working in a customer-facing role with strong communication and presentation skills.