Alteryx Data Modeler

This is 100% onsite work position based in Tallahassee, FL. Apply only if you are willing to relocate.

Education: Bachelor s Degree in Computer Science, Information Systems or other Information Technology major, or equivalent work experience

Required Experience:

1. Experience in data engineering with Alteryx Designer, including designing and implementing data pipelines and ETL processes.
2. Proficiency with Alteryx Designer.
3. Proficiency in programming languages such as Python and SQL.
4. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
5. Knowledge of relational database design and data modeling
6. Ability to establish and maintain effective working relationships with others.
7. Ability to work independently.
8. Ability to determine work priorities and ensure proper completion of work assignments.
9. Ability to communicate effectively, both verbally and in writing. (Proficiency level 3)

Preferred Skills and Abilities:

1. Familiarity with environmental science, water quality, or related fields.
2. Experience with implementing data warehouses, data lakes, or data lakehouses.
3. Experience with business intelligence tools such as Qlik Sense

Responsibilities:

• Design, implement, and maintain robust data pipelines and architectures in Alteryx Designer.
• Create and maintain logical data models in Oracle SQL Developer Data Modeler.
• Read, write, and update data.
• Create and maintain ETL code repository.
• Perform ad hoc data cleansing of data sets as needed.
• Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of environmental data.
• Define data quality standards and metrics.
• Execute procedures to monitor data quality.
• Identify data issues and propose remediation plans.
• Optimize data processing workflows and algorithms for efficiency, scalability, and reliability.
• 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 tunes 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.

No phone calls please. Apply only via e-mail. No visa sponsorship provided at this time.