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Data Modeler
Geologics Corporation —Sterling Heights, MI
- $62.95 an hour
- Contract
- Azure
- Mid-level
- Office

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Data Modeler

Geologics Corporation -
Sterling Heights, MI

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Job Details

Contract
$62.95 an hour

Qualifications

Dashboard development
Commercial use (data warehousing systems)
Cloud analytics services
Data visualization software proficiency
Technical documentation
Dashboard creation support
Process design
Reporting and dashboarding tools
Schema design
Process mapping
Data Architecture Design (Architecture design skills)
Process modeling
Business intelligence tools
Cloud database architecture
Bachelor's degree
Metadata
Redshift
Project stakeholder communication
Entity-relationship diagrams
Cross-functional communication
Metadata management
Data analysis software
Dimensional modeling
Business process modeling

Full Job Description

GeoLogics is working with a top Aerospace and Defense client looking for a Data Modeler in Sterling Heights, MI - Hybrid.

Role: Data Modeler

Client: Top Aerospace and Defense company

Location: Sterling Heights, MI - Hybrid (Goal is to be 3 days on, 2 day remote)

Schedule/Travel: 9/80 with 10% travel

Education: Bachelors in Data Management, Data Science, Math, Statistics

Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid)

Job Description

Design and implement conceptual, logical, and physical data models to represent organizational data accurately.
Collaborate with business analysts, data architects, developers, and other stakeholders to gather requirements and ensure models meet business and technical needs.
Maintain a central data dictionary, enforce data standards, and ensure compliance with data governance policies.
Optimize performance of data infrastructure by tuning data models for efficiency, reduce redundancy, optimize reusability at the right levels and improve database performance.
Design solutions for integrating data across systems and perform reverse engineering of existing databases when necessary.
Develop and maintain documentation, naming conventions, and coding standards to ensure consistency across data systems helping the business to define 'what does good look like?'
Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes.
Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.
Support configuration control, documentation and change impact analysis on the businesses data architecture model including identification of Authoritative Source of Truth (ASOT) databases, connectors to replicate data from ASOTS to Midas and/or AWS Cloud Environments through data transformation within Power BI.

Skills Required

Excellent oral and written communications.
Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process.
Proven ability to work within teams in which your contributions are critical to success.
Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
Experience using entity-relationship diagrams (ERDs), dimensional modeling, normalization techniques, and metadata repositories to design and document data structures.
Understanding of data warehousing concepts.
Experience with big data technologies like Hadoop or Spark.
Familiarity with cloud-based data services such as AWS or Azure.
Background in data governance and data quality concepts.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills with both technical and non-technical stakeholders.
Experience in Agile or Scrum environments.

Must Have Knowledge:

Develop Data Models
AWS Medallion architecture including AWS Redshift
Data Cataloguing tools like Collibra
Data Transformation tools like Dataiku
Dashboarding tools like PowerBI or Tableu
Experience using entity-relationship diagrams (ERDs)
Big Data tech like Hadoop or Spark

Andrew Gephart

(703) 891-6133

[email protected]

Rates listed are not a guarantee of salary/rate. Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level

GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran

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