Data Modeler

4 weeks ago

Tampa, United States Crescens Full time
Job Title: Data Modeler
Location: Tallahassee FL
Duration: 10+months
Type: Contract

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):
  • 3-5 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 problem-solving 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.

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