The person should have either worked on:
I.Big Data Processing Platform for structured and unstructured data OR
II.Centralized Muti tenant datawarehouse for storing business relevant structured data using Teradata or Oracle Exadata
Experience with ETL and other types of high-volume data movement, data replication, data transformation and data integration.
-Data Sourcing : Partner with various Business groups, Partner, 3rd Party to source and integrate data.
-Developing data warehouse process models, including sourcing, extracting, transforming and loading as per business requirements.
-Data Products Execution: Execute the data product roadmap by creating scalable data API to be accessed by various business units helping in implementation of data products like:
1.Single view of the customer across the various business group
3.Customer Size and Share of Wallet... etc.
-The incumbent shall be required to Deal with multiple data types: Demographics, Transaction, Contact , Voice of customer, Digital .
Graduation / Post-graduation in Mathematics and Computing / MCA/ M. Tech / MBA/ M. Phil / M Sc.
Other desired qualifications:
-Strong background in data architecture, data quality, data mapping, and data structures.
-Strong business requirements gathering/analysis skills
-Experience working with BI tools: logical data modeling and data visualization
-Knowledge of normalization, de-normalization, data rationalization, and optimization techniques
-Experience with data warehouse and ETL design patterns and concepts (e.g., SCDs, surrogate keys)
-MDM (Master Data Management), Data Integration (cleaning, linkage etc.): Create and manage a Enterprise data warehouse for analytics, business insights & reporting using the sourced data using products like IBM datastage or Informatica and job scheduler like Autosys, etc.