Das ist der Job
Role
Rapidly validate new data initiatives end-to-end—without sacrificing adoptability.
Darum lohnt es sich
On Innovation, you’ll prototype representative connectors and pipelines (batch + streaming), generate credible performance/operability readouts, and ship a handoff package that Foundation or a delivery team can productize.
Orcrist builds the Orcrist Intelligence Platform (OIP), a Kubernetes-based data intelligence system delivered as SaaS or self-hosted/on-prem (including air-gapped deployments). We run streaming and batch pipelines that power search, ML enrichment, and investigative workflows for mission-critical customers.
What you'll do Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches. Design “prototype-grade but adoptable” schemas and data models with clear semantics and evolution discipline.
Build incremental lakehouse datasets (Hudi/Iceberg/Delta patterns) and produce queryable outputs for realistic latency/throughput evaluation. Bake in data quality and provenance mindset early (checks, metadata hooks, operability basics).
Containerize and deploy prototypes on Kubernetes; deliver minimal runbooks/configs that make adoption straightforward. Produce adoption artifacts: schemas, reference implementations, technical design notes, and an integration backlog. About You 3+ years data engin
