• Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Build and enhance Snowflake platform to meet client's Data and AI requirements, applying data engineering principles and best practices.
• Utilize Cloud capabilities to support Snowflake platform development, ensuring scalability and reliability.
Qualifications:
• Exposure to Snowflake platforms: Familiarity with Snowflake architecture, features, and best practices for implementing Data and AI usecases.
• Familiarity with Data Engineering: Knowledge of data engineering principles, including data modeling, data warehousing, and ETL processes.
• Cloud computing skills: Understanding of Cloud capabilities, including scalability, reliability, and security, to support Snowflake platform development.
• Data and AI usecase implementation: Familiarity with implementing Data and AI usecases on cloud-based platforms, ensuring seamless integration and optimal performance.
• Data platform development: Exposure to building and enhancing data platforms to meet business requirements, applying data engineering principles and best practices.
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the chance are managed by the respective hiring team.)
📌 Data Engineer (Bengaluru)
🏢 Scoutit
📍 Bengaluru
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