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SUMMARY:
The client, Fidelity, is initiating a migration project to enhance and update their current reporting infrastructure, aiming to move away from the existing ecosystem of Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Exadata towards a new setup involving Snowflake and Power BI hosted on AWS and Azure platforms, respectively. The migration is driven by the need to address various challenges including data quality issues, lack of self-service capabilities, and alignment with Enterprise Information (EI) and Workplace Investing (WI) cloud strategies. The transition aims to provide a better reporting experience, faster time to market, and support the decommissioning of legacy hardware and data warehouses.
Responsibilities: Design logical and physical data models for the reporting database. Work closely with data engineers to implement the data structures and ensure they support efficient data retrieval and reporting capabilities. Define data relationships, constraints, and indexing strategies.
Qualifications: Deep understanding of data modeling principles and experience with AWS RDS or other cloud database services. Proficient in designing data models for business intelligence and reporting purposes. Knowledge of financial data structures and requirements. Experience with data migration and transformation projects.
Additional Details :
Projected Start Date : 2024-04-15T04:00:00
Projected End Date : 2025-04-25T13:00:00
Client Company : Fidelity Investments - Raleigh Durham
Vendor Pay Rate : 70
Selling points for candidate :
Background Check : No
Full Time
Business Services
$84k-105k (estimate)
04/12/2024
06/10/2024
zenithservices.com
HOPKINS, MN
100 - 200
Private
$10M - $50M
Business Services
The job skills required for Data Modeler include Data Modeling, AWS, Data Quality, Oracle, Data Structure, Business Intelligence, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Modeler. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Modeler. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Modeler positions, which can be used as a reference in future career path planning. As a Data Modeler, it can be promoted into senior positions as a Data Modeling Analyst, Sr. that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Modeler. You can explore the career advancement for a Data Modeler below and select your interested title to get hiring information.
If you are interested in becoming a Data Modeler, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Modeler for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Modeler job description and responsibilities
Data modeling serves as a means to complement business modeling and to work towards generating a sufficient database.
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They also maintain the data models they create, define data modeling and design standards, and evaluate any existing data systems.
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They develop best practices for standard naming conventions and data coding to ensure consistency of data models.
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They evaluate existing data systems to design and build databases that can be useful for a variety of purposes.
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They may have to work with other teams to create data models and data flows.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Modeler jobs
Top companies and start-ups choose Toptal data modeling freelancers for their mission-critical software projects.
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As soon as a novice modeler starts their training period, they are assigned to an experienced mentor.
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When needed, they perform reverse engineering of physical data models from databases and update and optimize local and metadata models.
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Data modelling can also be used to reverse-engineer the efforts of programmers and extract models from existing systems.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Data Modeler.