Data Engineering is the discipline of designing, building, and maintaining the infrastructure and systems that collect, store, transform, and deliver data reliably at scale. It bridges raw data sources and the consumers of that data — including data applications, Machine Learning models, and Business Intelligence dashboards.
Data engineers are responsible for building data pipelines (ETL/ELT), managing databases and data lakes, ensuring data quality and governance, and enabling efficient data extraction from heterogeneous sources. They work closely with Data Platforms and streaming systems like Kafka to move and process data at scale.
| Tool/Resource | Description |
|---|---|
| Data-engineering-skills | A curated list of skills and resources for data engineers |