Net2Source Inc. is one of the fastest growing Global Workforce Solutions company with a growth of 100% YoY for last consecutive 3 years with over 2200+ employees globally and 30 locations in US and operations in 20 countries.
Net2Source is headquartered at NJ, USA. We offer a wide gamut of consulting solutions customized to our 450+ clients ranging from Fortune 500/1000 to Start-ups across various verticals like Technology, Banking, Financial Services, Healthcare, Life Sciences, Oil & Gas, Energy, Retail, Telecom, Utilities, Manufacturing, Aerospace & Defense and Engineering.
We are one of the fastest-growing companies in the U.S. and this may be your opportunity to join us Want to read more about Net2Source? Visit us at
Washington, DC
Job DescriptionThe CTO has at least three projects earmarked for this new team member that can expect the assignment to last at least 9-12 months, with the ability to convert to full-time, permanent employment.
Designing the Enterprise information architecture and data components of a Systems Development Lifecycle e.g. Entity relationship diagrams, Data flow diagrams, documenting external interfaces, Business Process and enterprise modeling/mapping artifacts to a data architecture framework; stratifying data for Data Management purposes.
Understand the existing business processes and build the TO BE Information architecture strategy at an enterprise level
Designing, deploying, reviewing, and maintaining conceptual, logical, and physical data models for OLTP, Data warehousing and Business Intelligence models
Perform data analysis activities including data profiling, creation of data dictionaries
At least 5 years experienced as a Data architect at Enterprise level for modernization initiatives, enabling an end-to-end data architecture journey
Good knowledge with industry standard modeling tool like Erwin to design and build data models
Knowledge on building a common data platform and designing APIs for data delivery
Knowledge on Enterprise service bus and enterprise messaging patterns
Knowledge on defining Enterprise ETL strategy and data integration framework for applications
Experience in industry standard ETL tool like Informatica
Analyze and manage both structured and unstructured data sets
Experience in relational database like Oracle and/or Aurora
Experience in NOSQL database like DynamoDB
Knowledge on AWS and their services
Knowledge of Enterprise Data Lake, Data Ingestion patterns and Data Discovery
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201- Fastest Growing IT Staffing Firm in North America by Staffing Industry Analysts
201- Fastest-Growing Private Companies in America as a 5 times consecutive honoree - Inc. 5000
201- Spirit of Alliance Award by Agile1
Under 40 Leadership Awards by Triangle Business Journal
201- Fastest 50 by NJBIZ
201- TechServe Excellence Award (IT and Engineering Staffing)
201- Best of the Best Platinum Award by Agile1
Under 40 Award Winner by Staffing Industry Analysts
201- CEO World Gold Award by SVUS
201- Best of the Best Gold Award by Agile1
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