Job Title:  Technology & Transformation - Engineering - Consultant - Snowflake

The Team

Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile:

As a Consultant/Senior Consultant in our Technology & Transformation Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

• Design, develop and deploy solutions using different tools, design principles and conventions.
• Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
• Understand existing processes and facilitate change requirements as part of a structured change control process.
• Solve day to day issues arising while running robotics processes and provide timely resolutions.
• Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
• Coordinate with process owners and business to understand the as-is process and design the automation process flow.

Key skills required:

• 4-7 years of relevant experience in medium or large-scale data integration and data warehouse solutions.
• Hands on experience in Snowflake, Oracle PL/SQL, Control M
• Working experience of AWS services like S3, EC2, Cloud watch, Lambda, Fargate & Terraform and knowledge of other services
• Knowledge and preferably working experience of Snaplogic
• Well versed with Data analysis, Dimensional Modelling, Data Warehousing and SDLC concepts.
• Understanding of Configuration / Release Management processes.
• Hands on experience in Dynamic SQL, creating packages, procedures and functions, proficient in writing queries.
• Good understanding of RDBMS concepts (preferably Oracle, Snowflake)
• Experience in Agile Delivery

Skills – nice to have: 

• Experienced in DevOps
• Sound analytical & debugging skills.
• Understanding of the Finance domain, especially Investment management
• Innovative and enthusiastic about technology and using it appropriately to solve problems.

Experience and Qualification:

• B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University
• 4-7  years of relevant industry experience