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Job Description

A career in IBM Consulting is rooted in long-term relationships and close collaboration with
clients across the globe.
You ll work with visionaries across multiple industries to improve the hybrid cloud and AI
journey for the most innovative and valuable companies in the world. Your ability to accelerate
impact and make meaningful change for your clients is enabled by our strategic partner
ecosystem and our robust technology platforms across the IBM portfolio, including Software
and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM
Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your
role, and come up with creative solutions resulting in groundbreaking impact for a wide
network of clients. Our culture of evolution and empathy centers on long-term career growth
and development opportunities in an environment that embraces your unique skills and
experience
Your Role and Responsibilities
As a Consultant, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the client s needs.

Your primary responsibilities include:

• Provides technical expertise in the design and development using Snowflake and analytics solutions. Designs, develops and/or re-engineers highly complex application components, and integrate software packages, programs and reusable objects residing on multiple platforms.

Required Technical and Professional Expertise
Experience in Data Warehouse Architecture and Implementation of Snowflake Cloud Data Warehouse projects. Strong experience in designing and implementing a fully operational solution on Snowflake Data Warehouse.

• Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies (link removed)>
• Understanding of snowflake architecture and features such as time travel, procedures, analytical functions, Data Building Tool (DBT).
• Should have worked on Data migration and modernization from custom databases to the cloud-based Snowflake platform. Performance tuning (link removed)

Preferred Technical and Professional Expertise

• Knowledge of Data warehousing concepts, data modelling, metadata management, Data lakes, multi-dimensional models, data dictionaries.

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