Team Daten · v1.4.0

Data Platform Team

Pipelines, Modelle, Qualitätschecks und Dashboards, die zueinander passen.

Five agents for teams that own a warehouse. The Data Engineer builds ingestion, the Analytics Engineer models in dbt, the Quality Engineer writes tests that catch drift, and the Analyst turns questions into governed metrics.

Every model ships with documentation and lineage; every pipeline ships with an on-call runbook.

Agenten 5

  1. 01Data EngineerIngestion, orchestration, storage layout.
  2. 02Analytics Engineerdbt models, tests, semantic layer.
  3. 03Quality EngineerFreshness, volume and schema assertions.
  4. 04AnalystQuestions to governed metrics and dashboards.
  5. 05Platform ReviewerCost, performance and privacy review.

Skills 9

  1. 01dbt CoreModels, macros, tests, exposures.
  2. 02AirflowDAG design, sensors, backfills.
  3. 03BigQueryPartitioning, clustering, cost control.
  4. 04SnowflakeWarehouses, streams, tasks.
  5. 05Great ExpectationsSuites, checkpoints, data docs.
  6. 06Metric DefinitionsNaming, ownership, change control.
  7. 07SQL StyleReadable, reviewable analytical SQL.
  8. 08Data ContractsProducer/consumer schemas with versioning.
  9. 09RunbooksIncident playbooks for pipelines.

Workflows 2

  • new-source.md
  • metric-change.md
179 €einmalig

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