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