Join us as a Data Platform Engineer, focusing on the blueprint and design of data platform components. This role involves close collaboration with Integration Architects and Data Architects to ensure seamless integration across systems and data models.

As a Snowflake Sr. Developer, you will be instrumental in building robust, secure, and high-performance Snowflake pipelines for various projects and teams. Your daily activities will include aligning with architectural designs and supporting delivery teams, particularly in the execution of Proofs of Value (POVs) and Proofs of Concept (POCs), including those leveraging Generative AI (GenAI).

This position is an exciting opportunity to work with AI-powered technologies and contribute to reinventing business facets through data and AI.

- Construct data pipelines, implement ETL/ELT processes, and manage semi-structured and structured data to support analytics and reporting needs. - Partner closely with project leads to translate requirements into scalable solutions, upholding data quality and adhering to security best practices. - Utilize Snowflake's advanced features for performance tuning, craft complex SQL queries, and leverage tools like Snowpipe, Streams, Tasks, and Stored Procedures. - Stay updated on the latest advancements in Snowflake and GenAI capabilities. - Actively contribute to GenAI initiatives spearheaded by the Center of Excellence (CoE).

- A minimum of 3 years of experience is required. - Proficiency in Snowflake Data Warehouse is essential, along with a SnowPro Core Certification. - Experience in Data Engineering, including work with GenAI, is necessary. - Strong communication skills are important for effective collaboration. - The role requires 15 years of full-time education.