Sr. Data Modeler
BIICS, Inc is looking to fill a Sr. Data Modeler position. The position is located in Tallahassee, Florida and work remote. If you or someone in your network meet the qualifications and are interested in the position, please contact us at the link below.
Sr. Data Modeler
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.
Requirements
Potential candidate must possess the following:
• Bachelor’s or Master’s degree in Data Science, Environmental Science, Information Science, or other Information Technology major, or equivalent work experience.
• 3-5 years’ experience in data engineering, including designing and implementing data pipelines and ETL processes.
• Proficiency in programming languages such as Python and SQL.
• Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
• Knowledge of relational database design and data modeling.
• Experience with implementing data warehouses, data lakes, or data lakehouses.
• Ability to establish and maintain effective working relationships with others.
• Ability to work independently.
• Ability to determine work priorities and ensure proper completion of work assignments.
• Ability to communicate effectively, both verbally and in writing.
Preferred Knowledge, Skills & Abilities (KSAs):
• 5-10 years’ experience with Alteryx Designer.
• Familiarity with environmental science, water quality, or related fields.
• Experience with business intelligence tools such as Qlik Sense.
Benefits
Health Insurance
Work Location: Remote
Apply Now
Apply Now
Sr. Data Modeler
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.
Requirements
Potential candidate must possess the following:
• Bachelor’s or Master’s degree in Data Science, Environmental Science, Information Science, or other Information Technology major, or equivalent work experience.
• 3-5 years’ experience in data engineering, including designing and implementing data pipelines and ETL processes.
• Proficiency in programming languages such as Python and SQL.
• Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
• Knowledge of relational database design and data modeling.
• Experience with implementing data warehouses, data lakes, or data lakehouses.
• Ability to establish and maintain effective working relationships with others.
• Ability to work independently.
• Ability to determine work priorities and ensure proper completion of work assignments.
• Ability to communicate effectively, both verbally and in writing.
Preferred Knowledge, Skills & Abilities (KSAs):
• 5-10 years’ experience with Alteryx Designer.
• Familiarity with environmental science, water quality, or related fields.
• Experience with business intelligence tools such as Qlik Sense.
Benefits
Health Insurance
Work Location: Remote
Apply Now
Apply Now