Sr. Data Modeler BI

Posted 16 Days Ago
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Washington, DC
In-Office
Senior level
Artificial Intelligence • Information Technology • Internet of Things • Software • Automation
The Role
Responsible for developing dimensional models, transforming logical data models, and engaging with stakeholders to understand data needs. Requires extensive experience in data modeling, SQL writing, and familiarity with BI platforms.
Summary Generated by Built In
Company Description

Businesses face challenges every day building responsive and agile IT capabilities to grow and stay ahead. Since everyone has access to the same tools, your competitive advantage directly depends on how you apply technology – on the people leading, supporting and optimizing your IT initiatives. USM Business Systems, established in 1999, is an industry-leading private talent management firm, specializing in providing unique IT turnkey solutions, IT staffing solutions, and Talent management insights, enabling you to sustain a truly competitive advantage in this fast-moving environment. USM has offices throughout the US and offshore delivery centers in India. USM is a certified Minority Business Enterprise and is a CMMi Level 3 Organization.

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most recently was ranked #3 on the list of the Top Temporary Staffing firms in the DC Metro Area – Washington Business Journal (2016).

Job Description

1. Rapidly developing dimensional models or analytical data sets based on specific business requirements. Experience in ER - dimensional model design and implementation of STAR and SNOWFLAKE schemas is a must.

2. Work with the Architecture and Governance team to set strategy for conformed dimensions, and enterprise hierarchy etc.

3. Transform Logical Data Models into Physical Data Design for the IBM DB2 database, for the both the Integration and Access Layers in the three tier architecture.

4. Engage with Data Architects, Directors and Business Users to understand data access paths and business use.

5. Apply appropriate Denormalization and Audit Balance and Control columns.

6. Perform data profiling, and business rules investigations on source data, to ensure correct design of the Integration and Access layers.

7. Map and document data transformations of data from a business terms perspective.

8. Support project delivery teams in assessing their resource needs to deliver the Integration and Access layers.

Qualifications

Job Title: Sr. Data Modeler BI

Location: Washington DC

Duration: 12+ months

GC or Citizens Only

Locals to VA, DC, MD, DE

Required Skills

• Dimensional Modeling

o At least 5 year hands on experience designing and implementing Star Schemas

o At least 5 year experience implementing Data Warehouse presentation layer - including design and definition of logical tables, physical sources, dimensions, columns, aggregation rules

o At least 5 year experience in writing advanced SQL queries, views, and optimization of SQL queries

o Comprehensive Knowledge of Ralph Kimball’s Data Modeling Concepts including Transaction dimensions, conformed dimensions and facts, slowly changing dimension, multi-Star/ Snowflake Schema Modeling, different types of Fact tables

o Implementing a virtual semantic layer (virtual star schema) using views on a multi-tiered normalized Integrated Operational Data Store is a huge plus

• 3NF (Relational) Logical and Physical Modeling

o This position is not focused on 3NF data modeling but experience with 3NF models is required

o At least 2 year hands on experience with 3NF Data Modeling and NORMALIZED schema

o Comprehensive Knowledge of Bill Inmon’s Data Modeling Concepts (Logical and Physical) including 3NF, Supertypes, Subtypes, Abstraction, Associative entities / tables

o Experience with IBM DB2 Physical Modeling and Performance Tuning

• Business Intelligence

o This position is not focused on BI platform but rather on the data platforms, but experience with BI platforms is required

o Hands-on experience with BI application architecture and development

o Hands-on experience in designing technical architecture, installation and configuration of BI Stack components

o Extensive knowledge in Presentation layer such as MOLAP, ROLAP, HOLAP, Ad-hoc reports.

o Experience creating mockup reports, demo, & storyline a plus

• Proven ability to work in a team environment

• Thrives in an environment of changing priorities

• Excellent problem solving and critical thinking skills.

Additional Information

If you are interested in the below position please forward your profile to Saikirann@usmsystems(dot)com or call me on 703-880-4146.

Top Skills

Ibm Db2
SQL
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The Company
HQ: Hyderabad, Hyderabad
580 Employees
Year Founded: 1999

What We Do

USM is helping companies change existing business paradigms by bringing tomorrow’s AI and Automation solutions to today’s businesses.

Disruptive new technologies are helping corporations become more agile, competitive and profitable. Predictive algorithms are provisioning customer orders more accurately than ever before. Cognitive technologies are enhancing the customer experience at every touch point and open-ledger validation methods are improving the accuracy of complex, global financial transactions. Automation is no longer a choice, it is the engine that drives business growth.

Established in 1999 as an IT Consulting services company in the Washington DC metro area, the USM group of companies today consists of 1000+ employees across North America, Europe, Asia and Australia, providing a range of services such as
* Automation & Innovation
* Architecture & Consulting
* Maintenance & Support
* Contingent Workforce.

Our experts are SMEs in the following critical business areas – data sources (internet devices), mobile commerce strategies, customer acquisition & retention and ultimately, leveraging enterprise data management to drive competitiveness. We have the resources that can help you design your enterprise architecture, build & deploy your applications, as well as manage your IT operations 24x7.

Our focus areas include AI, Data science, RPA, Connected cars & devices, Natural language processing, Computer vision, Virtual agents, Blockchain, IoT, Mobile commerce, Retention programs, AR, VR, Gaming, and Enterprise data management.

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