Just some of the skills Data Engineering professionals use. One may not need to know all of them, but one technology from each area would make you well-rounded.
- Python
- Java
- Scala
- SQL / Relational
- NoSQL
- Graph (not critically important)
- SQL
- Spark
- Pandas / Dask
- AWS: S3, Lambda, DynamoDB, Kinesis, Batch ...
- Serverless frameworks, eg. AWS CDK, serverless, chalice
- Airflow
- Luigi
- Docker
- Kubernetes