Data Pipeline Development
- Develop, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow and integration.
- Work with structured and unstructured data from various sources.
Data Management
- Ensure data integrity, accuracy, and consistency across all data systems.
- Implement and monitor data quality checks to maintain high standards of data quality.
Collaboration
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Assist in integrating data from different sources into a unified data warehouse.
Performance Optimization
- Optimize data processing workflows and database performance.
- Identify and resolve data-related issues and bottlenecks.
Documentation
- Create and maintain documentation for data pipelines, processes, and data models.
- Ensure all data engineering practices comply with company policies and industry standards.