A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines that can efficiently process and store large datasets.
They collaborate with data scientists, analysts, and other stakeholders to ensure high-quality data is available for analysis, reporting, and business decision-making.
The role involves creating infrastructure for data generation, collection, and transformation. Responsibilities:
Design and build robust, scalable, and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources.
Integrate data from different sources into data warehouses, ensuring accurate and consistent data.
Develop and implement processes to monitor, validate, and ensure data quality and consistency.
Design, implement, and manage databases and data storage solutions (e.g., data warehouses, data lakes).
Work closely with data scientists, analysts, and business intelligence teams to understand data requirements and deliver high-quality data solutions. Technical Skills:
