paycor
Senior Database Developer
Algonomy
Oklahoma City, USA
Full-time
Mid Level
Onsite
Discovered 1 weeks ago
Free
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- Participates in a team-based, scrum development environment.
- Adheres to established best practices, standards, and agreed-upon design patterns for data and reporting application development and support.
- Analyzes and understands business users' requirements, clarifying inconsistencies, conflicts, or ambiguities, to effectively develop solutions that meet business needs.
- Responsible for the design, development, test, release, maintenance, and technical support of custom data applications such as data pipelines/ETLs/data processing/APIs.
- Performs data modeling and database design for data and reporting applications as well as other applications as needed.
- Performs analysis, design, and implementation of data migration as needed.
- Participates in design/code reviews.
- Documents data and reporting application implementations, configurations, and support requirements as needed.
- Creates deployment packages and instructions for releasing data and reporting applications across environments.
- Corrects reported incidents on data and reporting applications and releases fixes through the change control processes.
- Performs solution assessment as needed.
- Conducts proof of concept to guide technical implementation as needed.
- A Bachelor's degree in Computer Science, Management Information Systems, or a closely related field from an accredited college or university is required.
- 6-7 Years of experience in the solution development life cycle for developing and maintaining data processing and reporting applications.
- Extensive experience with: Relational and multidimensional data modeling Performance tuning and database design for SQL Server Building Operational Data Stores, Data Marts, and/or Data Warehouses Working with non-relational data sources such as flat files, excel files, JSON files, and APIs
- Relational and multidimensional data modeling
- Performance tuning and database design for SQL Server
- Building Operational Data Stores, Data Marts, and/or Data Warehouses
- Working with non-relational data sources such as flat files, excel files, JSON files, and APIs
- Familiarity with: Self-Service Business Intelligence platform Data quality management and master data management
- Self-Service Business Intelligence platform
- Data quality management and master data management
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