15 days old

Data Engineer-Data Modeling

Multiple Cities, Multiple
  • Job Code
    254820BR

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. To lead in this new era of technology and solve some of the world's most challenging problems.


Your Role and Responsibilities
Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system.

There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.

[2] The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders.
The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases.
Implementation of one conceptual data model may require multiple logical data models.
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details.
Data modeling defines not just data elements, but also their structures and the relationships between them.
Several techniques have been developed for the design of data models.


While these methodologies guide data modelers in their work, two different people using the same methodology will often come up with very different results.

There are several notations for data modeling.
The actual model is frequently called Entity relationship model, because it depicts data in terms of the entities and relationships described in the data.
An entity relationship model (ERM) is an abstract conceptual representation of structured data. Most notable are: Bachman diagrams, Barker's notation, Chen's Notation, Data Vault Modeling, Extended Backus Naur form, IDEF1X, Object relational mapping, Object Role Modeling, Relational Model, Relational Model/Tasmania.
Skills include logical and physical data modeling on both SQL and NoSQL databases.


Required Technical and Professional Expertise
Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems.
Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL.
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system.


Preferred Technical and Professional Expertise
There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system.

[2] The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders.
The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases.
Implementation of one conceptual data model may require multiple logical data models.
The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details.
Data modeling defines not just data elements, but also their structures and the relationships between them.
Several techniques have been developed for the design of data models.




About Business Unit
IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.


Your Life @ IBM
What matters to you when youre looking for your next career challenge?

Maybe you want to get involved in work that really changes the world. What about somewhere with incredible and diverse career and development opportunities where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.


About IBM
IBMs greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.


Location Statement
For additional information about location requirements, please discuss with the recruiter following submission of your application.


Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Categories

Industry

  • Computers Software and Hardware
Posted: 2019-12-01 Expires: 2019-12-31

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Data Engineer-Data Modeling

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Multiple Cities, Multiple

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