Domäne
Data Engineering
Skill-Profil
ACID transactions, time travel, schema evolution, table formats for data lakes
Rollen
1
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
5
die anderen 0 optional
Data Engineering
Data Lakehouse
17.3.2026
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Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Engineer | Pflicht | Understands the fundamentals of Delta Lake / Apache Iceberg. Applies basic practices in daily work. Follows recommendations from the team and documentation. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Engineer | Pflicht | Independently implements data pipelines with Delta Lake/Apache Iceberg. Optimizes performance. Ensures data quality. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Engineer | Pflicht | Designs data architecture with Delta Lake/Apache Iceberg. Optimizes for big data. Implements data governance and quality frameworks. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Engineer | Pflicht | Defines Delta Lake/Iceberg standards: table format selection, partitioning strategy, compaction schedules. Implements time-travel for data debugging and schema enforcement. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Engineer | Pflicht | Designs open table format strategy: Delta Lake vs Iceberg vs Hudi, catalog integration (Unity/Nessie), cross-engine interop. Defines migration path from Hive tables. |