- Designing and implementing data pipelines that extract data from various sources, transform it into a suitable format, and load it into data storage systems.
- Integrating data from multiple sources, which can include databases, APIs, logs, and external data sets, to create a unified view of data.
- Setting up and managing data warehouses or data lakes where large voulumes of data can be stored and easily accessed for analytical purposes.
- Implementing data governance practices to ensure data is managed in a consistent and standardized way across the organization.
- Implementing data quality checks and ensuring data integrity to maintain the accuracy and reliability of the data.
- Working with cloud-based platforms and services like AWS, Azure or Google Cloud to deploy and scale data infrastructure.
- Monitoring data pipelines and infrastructure to identify and resolve issues promptly to minimize downtime and data loss.