*Please share me a profile at : payal.j...@tresourceinc.com
<payal.j...@tresourceinc.com>*
Hi,
Hope you are doing good.
Send me your updated resume at *payal.j...@tresourceinc.com*
<payal.j...@tresourceinc.com>
*Role: Data Architect*
*Location: Richmond, VA*
*Duration – 6 months*
*Qualifications:* • Bachelor's degree in Computer Science or
related field
• 10+ years of experience in database development, information
systems design and analysis
• 7+ years of experience with MPP database technologies like
Greenplum(Pivotal) and the design and implementation of enterprise-level
data modeling/data architecture of data warehousing
and the support of business intelligence initiatives.
• Hands on experience with data modeling software like
-ERWIN/ERSTUDIO
• 5+ years of experience data modeling, designing,
implementing, and performance management of large scale data warehousing
initiatives
• Awareness and exposure to Hadoop/Big Data Technology
• Strong grasp of advanced SQL writing and query
tuning/optimization
• Strong documentation skills (source-to-target mappings, LDM,
PDM, etc)
• Strong written / oral communication and organizational skills
*Responsibilities: * We're looking for a Data Warehouse
Architect/Data Modeler to help us during our data modernization efforts.
This individual will be responsible for the design and management of the
data warehouse that supports our new Enterprise Data Warehouse initiative.
Big Data may be a buzz word these days, but at Genworth, we're constantly
trying to find ways to uncover hidden truths within our data and provide
our business with new information and capabilities. Genworth Financial,
Inc. (NYSE: GNW) is a leading Fortune 500 insurance holding company
dedicated to helping people secure their financial lives, families and
futures. Headquartered in Richmond, VA, Genworth has approximately 5,500
employees operating through three divisions around the world. For more
information on employment opportunities, please visit
genworth.com/employment. In this role, you will be responsible for:
• Maintaining a solid understanding of the company's data model
and the ability to design solutions and processes which combine disparate
data into meaningful reporting and analysis for customers and internal
audiences.
• Understanding complex data relationships and business
requirements and formulate efficient and reliable solutions to difficult
problems.
• Communication and analytical skills to work with business
owners, stakeholders, developers and DBAs.
• Design and implementation of relation and star schema modeling.
• Articulating data definitions, content domains, data classes,
subject area classification, and conformed dimensions.
• Collecting, maintaining, and publishing corporate metadata related to the
modeling.
• Enforcing data governance standards, policies, and procedures
for the design and proper use and care of data
• Developing, managing, and updating data models, including
physical and logical models of the data warehouse, data mart, staging area,
and the operational data store and source systems
• Working with business owners to define and understand business
requirements of the enterprise data warehouse.
• Understanding the company's transactional system and data
sources and identifying gaps in business processes
• Ensuring data accuracy in the early life cycle of the project.
• Performing data modeling based on Dimensional Fact Model (DFM)
principle • Assisting in the design of the company's data extraction,
staging and loading to data warehouse processes to ensure that data is as
consistent, clean and accurate as possible
• Acting as a key liaison to the company's Data Management
Leader and developers, developing solutions to design problems, increasing
efficiency and performance, and recommending best practices for data
warehouse-driven reporting and analytics
• Developing technical documentation including requirements
documents, process overviews, and data models/data flow.
• Interacting with data stewards for data definitions,
consistency, quality, privacy, security, and conflict resolution.
• Supporting the metadata strategy as it pertains to data
governance and model metadata capture.
Thanks & Regards,
Payal Jain | Technical Recruiter
Technology Resource Group Inc.
3736 Hillsdale Court Santa Clara, CA 95051
Office: 408-709-1760 Ext : 834, Direct: 4085025518
G talk: <http://www.tresourceinc.com/> trgpayaljain | *YM*: trgpayaljain |
Fax: 408-884-2409
payal.j...@tresourceinc.com | www.tresourceinc.com
[image: https://www.linkedin.com/pub/payal-jain/ab/5a6/987]
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