Description

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.

Key Skills

Education

ANY GRADUATE