Overview
Hybrid
Depends on Experience
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship
Skills
Analytical Skill
Python
Java
Data Modeling
Data Architecture
Collaboration
Job Details
Position:- SOFTWARE DEVELOPER (JAVA)
Location:-Columbia,SC (Hybrid)
Client: STATE OF SC(SCDHHS)
Job code: 11676
Description :
The Data Operations Hub (DOH) serves as the centralized platform and team responsible for ingesting, validating, transforming, securing, and provisioning all enterprise data to support analytics, reporting, operational efficiency, and regulatory compliance.
DAILY DUTIES / RESPONSIBILITIES:
As a Software Developer (Java) Consultant at South Carolina Department of Health and Human Services (SCDHHS), you will be a key member of the Data Operations Hub Team. Your role involves designing, developing, and implementing analytical data solutions that align with the Agency's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals.
Job Responsibilities
1. Represent the Data Operations Hub team in various forums, advising on Data Solutions.
2. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
3. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
4. Evaluate and select data technologies, driving the adoption of emerging technologies.
5. Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.
6. Serve as a subject matter expert in specific areas.
7. Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
8. Contribute to the data engineering community and advocate for agency data practices.
9. Engage in hands-on coding and design to implement production solutions.
10. Optimize system performance by resolving inefficiencies.
11. Design reusable data frameworks using new technologies.
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