DOES Data Engineer ETL & System Administration

Client requires the services of a Data Engineer staff augmentation consultant to serve as the data engineer for the Data Management Project team. The Data Management Project is a multi-year effort to ensure that the agency has accurate and reliable data maintained by high quality systems, all agency data are readily available and consistently used for well-informed decisions, and appropriate and accurate data are regularly released to the public. The Data Management Project team is responsible for meeting the project goals: (1) establish a data governance program, (2) perform a comprehensive data gap analysis, (3) design a master data architecture, (4) create a data warehouse for all data assets, (5) develop a front-end for program staff to quickly access workforce information and visualize program status, (6) create a public portal with user-friendly scorecards to help residents make more informed decisions about workforce opportunities, and (7) foster relations with other agencies and improve inter-agency data integration.

The Data Management Project Data Engineer serves as an ETL developer and system administrator for the agency's multi-year Data Management Project to modernize the agency's data management systems and implement an enterprise data warehouse, with a focus on data asset analysis, supporting data quality measures, and the enhancement of reporting and analysis for program staff. Specific duties for the position include: include:

Specific Duties:
1. Develop, test, and maintain extraction, transformation, and load (ETL) processes.
2. Support the System Administration of associated tools and software of data and analytics landscape including the data catalog, master data, data sources, data lakes, data warehouses, data assets, and analytic products.
3. Support the Data Management Project team to develop and maintain data quality controls.
4. Support the program staff and the Data Management Project team to develop and enhance data analysis and reporting to support program operations.
5. Support business data stewards and Data Management Project team in maintaining accurate data asset meta-data and updating data documentation.
6. Support the data stewards to troubleshoot and resolve data issues.
7. Support business users to obtain requirements for enhancements and/or new analytic assets.
8. Assist in the Development of data asset training and documentation.
9. Participate in the development and implementation of data standard.
10. Participate in the development and maintenance of agency data security, privacy, policies, procedures, and best practices.

Required Skills and Experience
Programming: proficiency in SQL, Python, R, JavaScript, JSON, and Excel Formulas & Charts.
? Familiarity with CKAN, DKAN, and/or ArcGIS is an added advantage.
Operating Systems: Windows and Linux.
Modeling Tools: proficiency in the use and administration of Erwin Modeling Suite (Data Modeler Navigator, Data Modeler WGE, Mart Server, Web Portal), or similar tools for developing and maintaining data models.
Testing: proficiency with Agile Testing, Automation Testing, Black-box Testing, Unit Testings, Cross-Browser Testing.
Nice to Have: Experience and understanding of BI tool architecture, functions, features (ie. Tableau and/or MicroStrategy).
Nice to Have: Outstanding consultative skills, understanding business needs and translating those needs to technical requirements and solutions.
Nice to Have: Ability to communicate effectively with all levels of the organization including business owners, leaders, and executives.

Bachelor's Degree from an accredited four-year university in Computer Science, Information Management, or other relevant field is preferred.