Responsibilities
- Develop and manage reliable data pipelines for ingesting, cleaning, transforming, and combining data from multiple sources.
- Create and maintain ontologies, data models, and schemas to support efficient data storage, access, and analysis.
- Ensure data governance, security, traceability, and lifecycle controls are in place to meet compliance and integrity standards.
- Work with cross-functional teams to establish and promote strong data management and governance practices.
- Develop innovative approaches to resolve complex data issues and support analytics in a fast-paced startup setting
Responsibilities
- Build & Maintain Scalable Data Pipelines: Construct robust pipelines to collect, cleanse, transform, and integrate diverse data sources.
- Data Models & Ontologies: Design and implement ontologies, data models, and schemas for efficient storage, retrieval, and analysis of complex datasets.
- Data Structures & Governance: Oversee governance, security, lineage, and lifecycle management to ensure regulatory compliance and data integrity.
- Collaboration & Best Practices: Partner with cross-functional teams to define and uphold best practices for data management and governance.
- Creative Problem-Solving: Innovate solutions to complex data challenges, enabling advanced analytics in a fast-moving startup environment.
