Data Modeler

Hello;

Title: Data Modeler

Location Tallahassee Florida

Work Arrangement Onsite

Long Term

Job Title

Data Modeler

Description

Job Title: Data Modeler

Primary Work: Serve as Data Engineer for the Data & Analytics (D&A) Office. Term / Hours: Estimated 1880 hours per year Education: Bachelors or masters degree in Data Science Computer Science Information Systems or other Information Technology major or equivalent work experience. Required Tasks to be performed: Design implement and maintain robust data pipelines and architectures. Develop and implement data quality control procedures to ensure the accuracy completeness and consistency of data assets. Optimize data processing workflows and algorithms for efficiency scalability and reliability. Perform ad hoc data cleansing of datasets as needed. Configure SAS Viya analytics platform. Ensure compliance with data privacy regulations and security best practices in data handling storage and transmission. Stay current 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 quality security and governance. Monitor and tune data systems identify and resolve performance bottlenecks and implement caching and indexing strategies to enhance query performance. Transform 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. Provide leadership guidance and mentorship to junior staff members and colleagues fostering a culture of continuous learning innovation and excellence in D&A practices. Required Knowledge Skills & Abilities (KSAs): 35 years experience in data engineering including designing and implementing data pipelines and ETL processes. Proficiency with data management platforms such as SAS Viya Alteryx or others. (Proficiency level 4) Proficiency in programming languages such as Python SQL or Java. (Proficiency level 4) Strong analytical and problemsolving skills with the ability to analyze complex datasets and extract actionable insights. (Proficiency level 4) Knowledge of relational database design and data modeling. (Proficiency level 4) Ability to establish and maintain effective working relationships with others. (Proficiency level 3) Ability to work independently. (Proficiency level 3) Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level 3) Ability to communicate effectively both verbally and in writing. (Proficiency level 3) Preferred Knowledge Skills & Abilities (KSAs): Familiarity with environmental science water quality or related fields. Experience with implementing data warehouses data lakes or data lakehouses.

Experience with cloud computing platforms such as Azure. Experience with business intelligence tools such as Qlik Sense.