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Job Role :: Data Modeler – (onsite) aria-hidden="true" Job Location :: Must be Onsite in Jupiter, FL day one! aria-hidden="true" This is working 100%Job Duration :: 6+ Months Contract Client: NextEra Energy/FPL Job Description :: aria-hidden="true" Must have strong and experience hands on! aria-hidden="true"- Strong understanding of data modeling concepts and methodologies (e.g. dimensional, relational, semantic)
- Knowledge of data warehousing design patterns and dimensional modeling techniques
- Extensive experience with data warehousing, OLAP (Online Analytical Processing), big data, and cloud technologies
- Strong proficiency in SQL and NoSQL databases – Oracle, PostgreSQL and Redshift
- Ability to design and implement complex data models to support business requirements that align with reporting and analytics
- Proficiency in SQL and data modeling tools (e.g. ER Studio, ERWin)
- Good understanding of data governance and data management best practices
- Strong ability to analyze and interpret large amounts of data
- Excellent communication skills to effectively collaborate with cross-functional teams and stakeholders
- Ability to stay up to date with new trends and technologies in the data modeling field
- Strong understanding of data architecture concepts, models, and frameworks
- Ability to translate complex technical concepts into business terms
- Knowledge of ETL (Extract, Transform, Load) processes using Talend
- Strong knowledge of data security and privacy best practices
- Understanding of data visualization and reporting tools (e.g. PowerBI, QuickSight)
- Strong problem-solving and critical thinking skills
- Design and implement optimized data models to support business requirements
- Develop and maintain a data dictionary and metadata repository
- Collaborate with cross-functional teams to understand business requirements and translate them into data models
- Ensure data models are accurate, consistent, and support data governance and data management best practices
- Develop and maintain relationships with data owners and stakeholders to ensure data models meet their needs
- Perform data profiling and analysis to understand data quality and completeness
- Ensure data models are optimized for performance and scalability
- Participate in data architecture design and implementation efforts
- Stay up to date with new trends and technologies in the data modeling field
- Document data models and data architecture artifacts
- Collaborate with cross-functional teams, such as software engineers, to integrate data solutions into the overall technology stack
- Troubleshoot and resolve data-related issues and failures in the production environment.
- Build Source-To-Target mapping documents to enable data engineers to build data pipelines
- Implement data security and privacy controls
- Monitor and optimize the performance of data pipelines