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Job Requirements of Data Visualization Engineer:
-
Employment Type:
Contractor
-
Location:
Salem, OR (Onsite)
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Data Visualization Engineer
Careers Integrated Resources Inc
Salem, OR (Onsite)
Contractor
Job Title: Data Visualization Engineer
Job Location: Salem, OR (PST) (Remote)
Job Duration: 06+ months (Possibly Extension)
Job Description:
Role and Responsibilities:
Job Location: Salem, OR (PST) (Remote)
Job Duration: 06+ months (Possibly Extension)
Job Description:
- 5+ years of experience working on AtScale implementations.
- 7 to 10 years of overall experience.
- Expertise in SQL along with a deep understanding of databases.
- Knowledge of database optimization, query planners, database drivers etc.
- Strong communication, analytical and problem-solving skills.
- Ability to work independently and collaborate effectively with team members and other teams.
Role and Responsibilities:
- Semantic Layer Design and Implementation.
- Design and build Semantic Layers in AtScale to enable unified data access and consistent reporting across various data end points (PowerBI, Tableau, Excel).
- Designing, Implementing, and Managing multi-dimensional data models using AtScale to streamline data
- democratization, enhance reporting capabilities, and support data-driven decision making.
- Develop and maintain multidimensional data models, including cubes, dimensions, and measures to support business intelligence and analytics needs.
- Consolidate and enhance existing data models to minimize duplicate logic proliferation.
- Optimize data models to ensure efficient and scalable data access and query performance.
- Define requirements, estimate work, track dependencies, report progress, and highlight blockers
- Collaborate with data engineers, analysts, and business users to understand requirements and translate them into effective semantic models.
- Troubleshoot and resolve issues related to data modeling, performance, and user access.
- Provide support and training to end users in leveraging the semantic layer for reporting and analysis.
- Propose and implement enhancements to improve the effectiveness and efficiency of the semantic layer
- Translate business requirements into data requirements and technical specifications.
- Help establish best practices, Document semantic layer designs, data models, and configurations to ensure clarity
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