What are the responsibilities and job description for the Data Engineer position at California Creative Solutions Inc.?
Job Description
Job Description
Experience Requirements
7 years' experience in data engineering and analytics, computer science, information technology, or related fields.
A minimum bachelor's degree in data sciences is desirable, and a Master's Degree in a Data Science field is preferred.
Combinations of experience and education will be considered on a case-by-case basis.
5 years of experience building Snowflake data warehouse solutions incorporating multiple source system data.
5 years integrating reporting solutions, specifically ThoughtSpot , Power BI , and / or Tableau . Other BI solutions experience will be considered.
5 years of Data Modeling experience.
Significant experience producing deliverables on a regular cadence, as well as reporting on status to stakeholders.
Demonstrated ability to communicate effectively to diverse audiences with varying levels of technical understanding.
Knowledge, Skills, and Abilities
Primary Duties or Responsibilities related to the ECIDS project :
Manage data collection, management, and storage for the project.
Enhance and maximize the quality, integrity, reliability, and access to data assets.
Build data pipelines to bring together information from different source systems and create the infrastructure for optimal extraction, transformation, and data loading from multiple sources.
Where applicable, enable data sharing and interoperable data exchange for the Division, the Department, other state agencies, and external partners / providers.
Oversee all stages of data onboarding, transformation, and enablement.
Assemble complex data sets that meet non-functional and functional business requirements.
Collaborate with associated programs to collect, prepare, organize, and secure the department's data assets.
Implement and enforce data privacy policies to comply with regulations.
Provide data models and engage in data modeling efforts as needed.
Deliver high-quality, uniform data to support analytics.
Improve and streamline access to data to drive innovation and outcomes.
Prepare data for analytical and operational uses by integrating, consolidating, cleansing, and structuring it for analytics applications.
Enhance and maximize the quality, integrity, and reliability of data assets.
Expand the effective utilization of data through improved usability and accessibility of IT systems.
Enable data sharing and access across the department.
Seek opportunities to eliminate data redundancies, improve data quality, and provide exceptional data services to the department.
Train Data Management Office staff on management of the ECIDS solution.
Train Division Staff on access and use of the system.
Keep a pulse on the job market with advanced job matching technology.
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