Data Engineer Snowflake with dbt

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 client's Data and AI usecases. This position focuses on implementing Data and AI solutions on Snowflake platforms.

Your primary responsibilities will include

• Design and Implement Solutions: Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Enhance Platform Capabilities: Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.
• Leverage Key Skills: Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions. Strong experience in implementing data pipelines and transformation logic within Snowflake-based data platforms, aligned with modern data product architectures. Hands-on experience in: Developing transformation logic using SQL and preferably dbt Designing and implementing modular, reusable data pipelines for analytical use cases Integrating Snowflake into end-to-end data flows, including ingestion, transformation, and consumption layers Supporting reporting and analytics use cases (e.g., integration with Power BI) Solid understanding of: Snowflake architecture, including performance optimization and cost-efficient design Data modeling approaches for analytics (e.g., dimensional models Data Vault is beneficial) Data quality checks and pipeline validation Experience in: Agile development environments using Jira, Confluence, and Git-based tools Applying IBM data platform methods and working within hybrid cloud architectures Experience in banking, especially in risk or regulatory contexts, is strongly preferred
• Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI usecases on Snowflake platforms.
• Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices.
• Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability. Romania Hybrid Professional Multiple Cities