Data Engineer-Data Platforms-SnowFlake

Overview

Embarking on a career with IBM Consulting means engaging in long-lasting client partnerships and collaborating on a global scale. You will partner with industry-leading companies, assisting them in navigating their hybrid cloud and AI transformation journeys. With the backing of our strategic allies, cutting-edge IBM technology, and Red Hat, you will be equipped to instigate substantial change and enhance client outcomes. Curiosity is the driving force behind success at IBM Consulting, where you will be motivated to challenge conventional thinking, investigate innovative ideas, and devise groundbreaking solutions that yield tangible results. Our culture prioritizes growth and empathy, focusing on your professional development while appreciating your distinct skills and experiences.

Position Overview and Responsibilities

In the role of Data Engineer with a focus on Data Platforms-SnowFlake, you will be instrumental in developing and refining Snowflake platforms aimed at supporting clients' Data and AI initiatives. This role emphasizes the execution of Data and AI solutions on Snowflake platforms.

Your Main Responsibilities Will Involve

• Solution Design and Implementation: Develop and implement Data and AI use cases on Snowflake platforms to ensure smooth integration and optimal performance.
• Platform Capability Enhancement: Build and improve Snowflake platform functionalities to align with client requirements and further Data and AI applications.
• Utilize Core Skills: Leverage your knowledge in Snowflake, Data Engineering, and Cloud technologies to provide high-caliber solutions.
  
  

Preferred Educational Background

Master's Degree

Essential Technical and Professional Qualifications

• Snowflake Platform Proficiency: Demonstrated experience in designing and executing data and AI use cases on Snowflake platforms, guaranteeing seamless integration and peak performance.
• Data Engineering Acumen: Proficient understanding of data engineering concepts and practices, including data modeling, data warehousing, and data governance.
• Cloud Technology Expertise: Experienced in cloud technologies, encompassing the migration, deployment, and management of cloud-based data platforms.
• Solution Implementation Proficiency: Background in deploying data and AI solutions on Snowflake platforms, utilizing expertise in Snowflake, Data Engineering, and Cloud technologies.
• Platform Enhancement Skills: Proven experience in developing and refining Snowflake platform capabilities to meet client demands and advance Data and AI solutions.
  
  

Desirable Technical and Professional Experience

• Advanced Knowledge of Snowflake Platform: Familiarity with advanced features of Snowflake, such as data sharing, data pipelines, and data security, with the ability to design and implement complex data and AI use cases on the platform.
• Cloud Architecture Mastery: Experience in designing and executing scalable and secure cloud architectures for Data and AI applications, with a solid understanding of best practices for cloud migration, deployment, and management.
• Best Practices in Data Engineering: Experienced in applying best practices in data engineering, including data modeling, data warehousing, and data governance, with the capability to optimize data and AI solutions for enhanced performance and scalability.