Principal Snowflake Developer

Overview: We are looking for a skilled Snowflake Developer with 8+ years of experience in developing and managing data warehouse solutions using Snowflake.
The ideal candidate should have expertise in stored procedures, SQL scripting, and DBT development using models, macros, and jobs.
The candidate should also have a strong understanding of DWH concepts, along with experience in developing ETL solutions and implementing CICD pipelines using Bitbucket, Jenkins, DBT, and Snowflake.
Additionally, the candidate should have experience in collaborating with stakeholders to gather requirements, develop logic, and deploy solutions.
In This Role, You Will: Manage and maintain the Snowflake platform, ensuring optimal performance and uptime.
Design and implement Snowflake architecture, considering best practices for scalability, security, and compliance.
Conduct performance optimization activities to ensure efficient use of resources and credits.
Oversee governance and compliance practices, enabling the right audit logs and ensuring data security using RBAC, masking etc.
Perform POCs to evaluate new features and functionalities.
Enable and configure new features on the Snowflake platform.
Develop and implement integration design strategies using AWS services such as S3, Lambda, SQS, and Kinesis.
Design and implement API-based integrations to ensure seamless data flow between systems.
Collaborate with cross-functional teams to ensure the successful implementation of Snowflake projects.
Utilize programming languages, particularly Python, to develop custom solutions and automation scripts.
Heres What You Need: Proven experience working with Snowflake and AWS cloud platforms.
In-depth knowledge of Snowflake architecture, design, and best practices.
Strong understanding of compliance and governance practices, with the ability to enable and manage audit logs.
Expertise in performance optimization and credit usage management on the Snowflake platform.
Experience with AWS services such as S3, Lambda, SQS, and Kinesis.
Proficient in API-based integrations and data integration strategies.
Strong programming skills, particularly in Python.
Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.