Credit Data Engineer

2 giorni fa

turbigo, lombardy, Italia Klarna Tempo pieno

Gratuito con email o Google

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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.

Languages: SQL, PySpark, Python
Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift
Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD

Proven ownership of mission‑critical data products (batch + streaming).
Data modeling, schema evolution, data contracts, and strong observability chops.
Familiarity with AI/agent patterns (agent‑friendly schemas/endpoints, embeddings/vector search).

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