Market leaders use data-driven approaches to determine customer needs and their market performance, creating a surge in demand for Data Engineers.
1. Degree in CS, Technology, or related field. 2. Expertise in Spark, Hadoop, and ETL tools. 3. Knowledge of SQL, Python, UNIX, LINUX, etc. 4. Data structures, data warehouses, and data modelling.
1. Design data platform architecture. 2. Optimize existing data structures and pipelines. 3. Develop data integration tools to streamline workflows. 4. Update data extraction and analysis tools.
Data engineers can be categorized as follows based on their responsibilities: 1. Generalist 2. Warehouse-centric 3. Pipeline-centric
India - ₹836,443/yr United Kingdom - £40,360/yr USA - $92,541/yr Germany - €56,531/yr New Zealand - NZ$84,454 Canada - C$80,554
Want to make a career in Data Engineering?