Job description

Requirements:

• Availability to work 100% of the time on the Client’s site in Juno Beach, FL (required);
• Experience with data modeling concepts and methodologies (e.g. dimensional, relational, semantic);
• Experience with warehousing design patterns and dimensional modeling techniques;
• Experience with data warehousing, OLAP (Online Analytical Processing), big data, and cloud technologies;
• Experience with SQL and NoSQL databases – Oracle, PostgreSQL, and Redshift;
• Experience designing and implementing complex data models to support business requirements that align with reporting and analytics;
• Experience with SQL and data modeling tools (e.g. ERStudio, ERWin);
• Experience with data governance and data management best practices;
• Experience analyzing and interpreting large amounts of data;
• Experience with data architecture concepts, models, and frameworks;
• Experience translating complex technical concepts into business terms;
• Experience with ETL (Extract, Transform, Load) processes using Talend;
• Experience implementing data security and privacy best practices;
• Experience with data visualization and reporting tools (e.g. PowerBI, QuickSight).

Responsibilities:

• 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 and 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.

Job Type: Contract

Salary: $45.00 - $50.00 per hour

Schedule:

• 8 hour shift

Experience:

• Data modeling: 1 year (Preferred)

Work Location: On the road

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