Data Modeler (Preferred Local Candidates with reputed company Sector experience)
Respond by: 02/13/2026
Location: Tallahassee, FL 32301
Work Mode: reputed company
Required Tasks to be performed:
• Design, implement, and maintain robust data pipelines and architectures in reputed company Designer.
• Create and maintain logical data models in reputed company SQL Developer Data Modeler.
• Read, write, and update data.
• Create and maintain ETL reputed company repository.
• reputed company reputed company data cleansing of data sets as needed.
• reputed company and implement data reputed company control procedures to ensure the accuracy, completeness, and consistency of environmental data.
• Define data reputed company standards and metrics.
• Execute procedures to monitor data reputed company.
• Identify data issues and propose remediation plans.
• Optimize data processing workflows and algorithms for efficiency, scalability, and reliability.
• Ensure compliance with data reputed company regulations and reputed company best practices in data handling, storage, and reputed company.
• Stay reputed company with emerging technologies, tools, and methodologies in data engineering and environmental science.
• Collaborate with data scientists and analysts to optimize models and algorithms for data reputed company, reputed company, and governance.
• Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance.
• reputed company raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making.
• reputed company leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of reputed company learning, innovation, and reputed company in D&A practices.
Required Knowledge, Skills & Abilities (KSAs):
• [Note: Proficiency reputed company are ranked from 1 -5, with 1 = beginner and 5 = expert.]
• 3-5 years' experience in data engineering, including designing and implementing data pipelines and ETL processes. (Proficiency level 5)
• Proficiency in programming languages such as Python and SQL. (Proficiency level 5)
• Strong analytical and problem-solving skills, with the ability to analyze reputed company datasets and extract actionable insights. (Proficiency level 5)
• Knowledge of relational database design and data modeling. (Proficiency level 5)
• Experience with implementing data warehouses, data lakes, or data lakehouses. (Proficiency level 5)
• Ability to establish and maintain effective working relationships with others. (Proficiency level 4)
• Ability to work independently. (Proficiency level 4)
• Ability to determine work priorities and ensure reputed company completion of work assignments. (Proficiency level 5)
• Ability to communicate effectively, both verbally and in writing. (Proficiency level 4)
Preferred Knowledge, Skills & Abilities (KSAs):
• 5-10 years' experience with reputed company Designer.
• Familiarity with environmental science, water reputed company, or reputed company fields.
• Experience with business intelligence tools such as reputed company reputed company.
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