Job Description
You’ll work closely with engineering, analytics, and product teams to ensure data is accurate, accessible, and efficiently processed across the organization.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and architectures.
- Collect, process, and transform data from multiple sources into structured, usable formats.
- Ensure data quality, reliability, and security across all systems.
- Work with data analysts and data scientists to optimize data models for analytics and machine learning.
- Implement ETL (Extract, Transform, Load) processes and automate workflows.
- Monitor and troubleshoot data infrastructure, ensuring minimal downtime and high performance.
- Collaborate with cross-functional teams to define data requirements and integrate new data sources.
- Maintain comprehensive documentation for data systems and processes.