Job Description

Snowflake Data EngineerAt least 8-10 years of hands-on experience in Snowflake & related data platforms. Working knowledge of Python, especially for automation and data orchestration use cases. Experience with SAML and SCIM integrations for identity and access management. Proficiency in configuring new Snowflake accounts and setting up PrivateLink for secure connectivity. Deep understanding of Snowflake sharing capabilities, Listings (auto fulfillment), and Marketplace features. Hands-on experience with Snowflake cost management in multi-tenant environments. Familiarity with emerging Snowflake features such as Cortex, Streamlit, and Native Apps. Strong background in performance optimization techniques within data platforms. Lead the ideation, design, and implementation of advanced Snowflake features. Establish and uphold enterprise architecture principles, governance frameworks, reusable patterns, and standards to support strategic IT initiatives. Ensure seamless integration of applications, data, and business processes across functions to deliver cohesive, scalable solutions. Proactively identify and mitigate risks related to resiliency, scalability, security, and technical debt in architectural decisions. Translate complex requirements into robust technical solutions through strong analytical and problem-solving skills. Skill matrix Snowflake, DBT, Experience in other ETL tools & RDBMS SQL, Python, Cloud Data Services, Spark BigData

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