Green Card
EAD (OPT/CPT/GC/H4)
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 13th Sep 2023
#Accountable for delivery of the MDM capabilities required by the business functions
#Understand specs, user stories, and product planning docs around MDM implementation
#Hands-on experience in Informatica MDM is a must (ideally Customer 360 implementation experience)
#Understand Customer Master roadmap, aligning with business objectives and outcomes
#Support in creation and implementation of Data Model that helps support all business use cases
#Participate to achieve single source of truth from master data perspective
#Participate in full lifecycle of complex cross-functional programs/projects with considerable impact across multiple organizations
#Participate in adoption and implementation of best practices across key data elements and processes
#Understand business and functional requirements documents
#Particiapte with business, technology and operations on driving data clean-up & validation efforts across various systems to achieve clean & complete Master Data
#Identification, root cause analysis, prioritization, remediation planning and coordination, and execution of remediation activities for data issues
#Update system data documentation (metadata, dictionary, lineage) in accordance with established policies
#Help resolve critical issues and providing technical resolution
#Particiapte in development and maintenance of the technologies that automate data processes
#Analyze current ETL process, define and design new systems
#Design and guide developers on topics related to development and deployment of ETL/MDM processes
#Work with users and team members at all level for performance improvement and suggestions
#Ability to convert business requirements into technical specifications and decide timeline to accomplish
#Defining non-functional requirements for each solution, and working with the team to achieve these requirements in an efficient manner
#Develop process and tools to monitor and analyze model performance and data accuracy/ quality
#Performing a detailed analysis of data management requirements from a DataOps standpoint specifically Data Governance and Quality across all systems, platforms and applications
#Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
#Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources