Description

  • 15+ years of professional experience in the field of Data Architecture, Design and Development of Data Lifecycle Management (DLM) and Data Governance projects
     
  • Experience should include hands-on experience in implementing a Customer Data Hub Customer Information Management system or Customer Data Mart which includes Modeling Customer Data Model in the 3NF / Dimensional Model, defining and developing integration patterns like Batch and real-time, defining & developing the physical storage layer, defining & developing the consumption pattern
     
  • Experience with Data Modeling is a MUST, experience in defining standards and data architecture best practices is a must
     
  • Experience with Data Management/Architecture Practices like Data Integration, Data Governance, Data Quality, Metadata management, Data Security, Data Encryption etc. is a must
     
  • Must have hands-on experience with developing large Data Mart or Data warehouse or Data hub involving data modelling, data ingestion, data processing and extract generation to the downstream systems
     
  • Must have experience with any ETL tool like Informatica or Data Stage or other for data processing requirements.
     
  • Experience with Identity resolution products for Name and Address standardization like Informatica IDQ / Address Doctor /IBM Quality stage is required.
     
  • Experience with any Data Quality product like Informatica IDQ, Quality Stage or Trillium will be an added advantage
     
  • Must have strong experience with writing SQL for pulling and analyzing source/data platforms
     
  • Experience with Data Science models, model validation, model tuning and management will be an added advantage.
     
  • Proactively communicate and collaborate with business stakeholders to understand the business requirements, translate them into design, and develop the respective module based on the requirements.
     
  • Must have experience working in an Agile implementation set-up with Product Backlogs, User Stories, Scrum and sprint planning etc.
     
  • Strong verbal and written communication and English language skills
     
  • Strong consulting skills and consulting experience are strongly desired.

     


 

Requirements

  • Developing Data Architecture and Design documents for Data Lake, Data warehouse & Data Marts corresponding to Customer Information Management Systems
     
  • Experience in Data Lifecycle Management (DLM)
     
  • Configuring Solutions and Coding any customization required for the Data platform including Data Lake, Data warehouse and Data Marts
     
  • Working with the clients to understand the requirements. Develop the required codebase for the functional needs
     
  • Develop Source to Target mapping document for all the attributes that are required to be captured for Data Lake, Data warehouse and Data Marts
     
  • Configure and develop code required for Upstream and downstream system communication in a Batch and real-time mode
     
  • Provide clarifications for any questions that the Business / SME team or any other stakeholder has on Data implementations.
     
  • Participate in system and acceptance testing along with the stakeholders

Key Skills
Education

Any Graduate

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