Big Data Engineering – Hadoop, Spark, Kafka Career Track.
Manage massive datasets with Hadoop, Spark, Kafka and Airflow build batch and real-time data pipelines.
Course Overview
To give learners the knowledge, tools, and real-world experience to work with large-scale datasets, build ETL pipelines, process real-time data streams, and prepare for roles like Big Data Engineer, Data Pipeline Developer, or DataOps Specialist. You'll go from foundational data concepts to building real pipelines with Hadoop, Spark, Kafka, and Airflow all with hands-on projects, cloud integration, and GitHub-ready portfolio building.
What's inside the course.
Curriculum.
8+ modules · 80+ lectures · 9 projects
Career path after this course.
Prepare for roles like Big Data Engineer, Data Pipeline Developer, or DataOps Specialist. Complete the assignments and final project to earn a verifiable eduden certificate — checkable on our Verify page.
A digital certificate of completion from Eduden after completing all modules and submitting your final project.
Lifetime access to recorded sessions, hands-on lab assignments, and downloadable resources through the Eduden dashboard.
Upon completion of the course, students will always be interviewed to assess their skills and readiness for practical applications.