Principal Consultant
2 weeks ago
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 Principal Consultant-Data Modeler
Responsibilities
Understanding the business needs and gathering user requirements by conducting and participating in JAD sessions, interacting with end-users and training them on the applications developed for the organization
Hands-on experience with physical, relational and dimensional data modeling, and even in No-SQL
Expert knowledge in SDLC (Software Development Life Cycle) and was involved in all phases in projects.
Design, Development and implementation of the enterprise-wide architecture for structured and unstructured data providing architecture and consulting services to Business Intelligence initiatives and data driven business applications
Business Process Modelling, Process Flow Modelling, Data flow modelling and Knowledge of data modelling principles including conceptual and logical data models
Creating ETL specification documents, & creating flowcharts, process workflows and data flow diagrams.
Performed extensive data cleansing, data manipulations and date transforms and data auditing.
Developed database objects like packages, tables, stored procedures, triggers that are used for meeting the business objectives.
Hands on experience of working in the Cloud technologies – AWS/Azure/GCP
Transformation to Consumption using various methods including API delivery
Experience with data warehouses and big data platforms
Strong hands-on experience with data modeling tools like Erwin.
Identify and understand business needs and create data models to fit those needs
Maintain data models, define data modeling and design standards
Evaluate any existing data systems
Develop best practices for standard naming conventions and data coding
Ensure consistency of data models
Evaluate data models and databases for variances and discrepancies
Qualifications we seek in you
Minimum Qualifications
Solid experience in Information Technology as Data Analyst and Data Modeler with advanced analytical and problem solving skills.
Good experience in snowflake.
Solid experience in RDBMS (Like Teradata, Oracle etc)
Extensive experience with OLTP/OLAP System and E – R-Modelling, developing Database Schemas like Star schema and Snowflake schema used in relational, dimensional and multidimensional modelling .
Extensive experience in Relational Data Modelling, Dimensional Data Modelling, Logical/Physical Design, ER Diagrams, Forward and Reverse Engineering, Publishing Erwin diagrams, analysing data sources and creating interface documents.
Preferred qualifications
Strong and Excellent experience in Data Analysis, Data Migration, Data Validation, Data Cleansing, Data Verification, identifying data mismatch, Data Import, and Data Export through the use of multiple ETL tools
Excellent experience on Teradata SQL queries, Teradata Indexes, Utilities such as Mload, Tpump, Fast load and FastExport.
Have experience in Dimensional Modeling using Star and Snowflake schema methodologies of Data Warehouse and Integration projects
Strong understanding of RDMS/ SQL concepts and experience in working with relational databases and able to design the data models and implement them
Good understanding of CLOUD (Azure, AWS, GCP) data and analytics services
Certification and Hands-on experience with Azure and/or AWS design and implementation is preferred
Developed Data dictionary and maintained Metadata for each model.
Coordinated with other developers in tuning long running SQL queries to enhance system performance
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