MDM Architect(RARR Job 4302)

For International Trade And Development Company

12 - 16 Years

Full Time

Up to 30 Days

Up to 50 LPA

1 Position(s)

Hyderabad

12 - 16 Years

Full Time

Up to 30 Days

Up to 50 LPA

1 Position(s)

Hyderabad

Posted By : Rarr Technologies Pvt Ltd

No longer accepting applications

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Job Skills

Etl

Data Governance Tools

Job Description

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 and validation efforts across various systems to achieve clean and 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