Data Engineering is a specialized technology program focused on designing, building, and maintaining scalable data pipelines and data infrastructure. The course prepares learners to collect, process, store, and transform large volumes of data for analytics and business intelligence.
Students learn Python, SQL, data modeling, ETL/ELT pipelines, data warehousing, big data technologies such as Hadoop and Spark, workflow orchestration tools like Airflow, and cloud platforms (AWS/Azure/GCP). The program also covers data security, performance optimization, and real-time data processing.
Graduates of Data Engineering can pursue roles such as Data Engineer, Big Data Engineer, ETL Developer, Analytics Engineer, and Cloud Data Engineer in data-driven organizations. The course emphasizes hands-on projects, real-world datasets, and industry-ready data architecture skills.