Medeina · Role guides · Senior Data Engineer
Senior Data Engineer: skills & learning path
Medeina maps what a Senior Data Engineer role typically needs, then helps you plan books, courses, certifications, and interview prep against your own skills or CV.
A senior title usually means you already ship without a checklist: you pick the design, review other people's work, and can explain tradeoffs.
Typical requirements
Ranked by how often they show up for this kind of role.
- SQL — importance 95%
- Python — importance 90%
- Apache Spark — importance 70%
- Airflow — importance 65%
- AWS — importance 60%
- Kafka — importance 55%
- Docker — importance 50%
Questions people ask
What skills does a Senior Data Engineer need?
The skills that usually matter for a Senior Data Engineer are SQL, Python, Apache Spark, Airflow, AWS, Kafka, and Docker.
How do I learn Senior Data Engineer skills?
Compare SQL, Python, Apache Spark, Airflow, AWS, Kafka, and Docker with your CV on Medeina, then follow the books, courses, and interview prep it lines up for the gaps.