Senior Consultant - Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Engineer specializing in Data Platforms-SnowFlake, you play a critical role in building and enhancing Snowflake platforms for clients' Data and AI use cases. This position focuses on implementing Data and AI use cases on Snowflake platforms. Your primary responsibilities will include:

• Implement Data and AI Use Cases: Implement data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Enhance Snowflake Platform: Build and enhance Snowflake platforms to meet the evolving needs of clients' Data and AI use cases.
• Leverage Key Skills: Apply expertise in Snowflake, data engineering, and cloud computing to deliver high-quality solutions.
• Data Engineering Knowledge: Experience working with data engineering principles and practices to deliver high-quality solutions on Cloud platforms like Snowflake, Databricks, GCP,AWS.
• Cloud Computing Skills: Exposure to cloud computing concepts and technologies, with an understanding of how they integrate with Cloud platforms like Snowflake, Databricks, GCP,AWS.
• Implementation Expertise: Experience implementing data and AI use cases on Cloud platforms like Snowflake, Databricks, GCP,AWS., ensuring seamless integration and optimal performance.
• Technical Solution Delivery: Experience applying technical expertise to deliver solutions that meet client needs, leveraging cloud platforms like Snowflake, Databricks, GCP,AWS , data engineering, and cloud computing skills. Client-Facing Expertise: Strong client-facing experience, including direct interaction with clients and the ability to understand their needs and translate them into technical solutions. Advanced English: Advanced English communication skills are mandatory, both written and spoken.
• Snowflake Platform Expertise: Experience with Snowflake platforms, including building, enhancing, and implementing data and AI use cases to meet client needs.
• Cloud Integration Knowledge: Exposure to integrating cloud computing concepts and technologies with cloud platforms like Snowflake, Databricks, GCP,AWS., enhancing data and AI use case implementation.
• Advanced Data Engineering: Experience working with data engineering principles and practices to deliver high-quality solutions on Snowflake platforms, leveraging expertise in cloud platforms like Snowflake, Databricks, GCP,AWS. and cloud computing.
• Technical Solution Optimization: Experience applying technical expertise to optimize solutions on cloud platforms like Snowflake, Databricks, GCP,AWS ensuring seamless integration and optimal performance for data and AI use cases. Costa Rica Data & Analytics Hybrid Professional Heredia, CR (0804) IBM Business Transformation Center, S.r.l.