Lead Consultant

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Lead Consultant – Snowflake Data Engineer 
The candidate will work as a Snowflake Architect with team of Quantitative Analyst and Modelers, as well as various other business and technology units. The individual will be part of an Agile team working closely with team members in India. 
Responsibilities
• Will be responsible to plan, design, develop and maintain the data architecture, data models and standards for various Data Integration & Data warehouse projects in snowflake. 
• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. 
• Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. 
• Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
• providing technical leadership to large enterprise scale projects. 
• Will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). 
• This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project.
Qualifications
Minimum qualifications
• BE/B Tech/ MCA
• Excellent written and verbal communication skills
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise .
• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts.
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning,
• Zero copy clone, time travel and understand how to use these features.
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns.
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python.
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.

Preferred qualifications
• Experience with data security and data access controls and design.
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS.
• Must have experience in DBT, Fivetran, GCP, Github
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL.
• Unix Shell Scripting, performance tuning and troubleshoot (additional benfit)
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS).
• Certified Snowflake cloud data warehouse Architect (Desirable).
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.