22 set - Turbigo
Klarna
What You’ll DoSebbene l'esperienza competente e le qualifiche siano fondamentali per questo ruolo, si assicuri di verificare di possedere le soft skill preferenziali, se richieste, prima di candidarsi.Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage.Design for AI‑agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine‑readable data contracts.Build & run pipelines (batch + streaming) that feed UW scoring, real‑time decisioning, monitoring, and underwriting optimization.Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root‑cause reviews.Partner closely with Credit Portfolio Management,
Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer‑centric models, plus regulatory and management reporting.Tech Stack (what We Use)Languages: SQL, PySpark, PythonFrameworks: Apache Airflow, AWS Glue, Kafka, RedshiftCloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CDWhat You’ll BringProven ownership of mission‑critical data products (batch + streaming).Data modeling, schema evolution, data contracts, and strong observability chops. xysqume Familiarity with AI/agent patterns (agent‑friendly schemas/endpoints, embeddings/vector search).#J-18808-Ljbffr
23 set - Bologna
Gruppo Hera
23 set - Milano
Hitachi Energy
23 set - Treviso
Sinelec
23 set - Milano
Avanade