You will design, develop, and maintain data models and pipelines to support data warehousing and analytics integration.
Responsibilities
- Analyze and develop data models and data dictionaries for warehouse integration.
- Assemble large, complex datasets to meet specific business requirements.
- Build infrastructure for extraction, transformation, and loading of data from diverse sources.
- Document product life cycle artifacts, including functional requirements, business cases, and test plans.
- Manage project schedules, deliverables, milestones, and timelines for assigned projects.
Required Skills
- 5+ years of experience in data modeling and programming with SQL.
- 5+ years of experience analyzing data using SAS.
- 5+ years of experience using enterprise-grade ETL/ELT products such as Talend, Informatica, or Oracle Data Integrator.
- 5+ years of experience documenting functional requirements, project charters, and technical specifications.
- Proven experience implementing large-scale, multi-organizational data warehousing solutions using ETL tools, Machine Learning, and Data APIs.
- Strong understanding of data classifications, access, and security.
- Proficiency with MS Office applications including Word, Excel, Project, and Visio.
- Bachelor’s Degree in an IT-related or Engineering field.
- Ability to communicate technical analyses and recommendations to both technical and non-technical stakeholders.
Preferred Skills
- Recent experience within government agencies or public-sector bodies.
- Experience integrating, supporting, and administering Snowflake.
- Experience using Talend Data Fabric, R, and Power BI.