Requirements

Expected technologies

SQL

PySpark

Python

Apache Airflow

AWS Glue

Kafka

Redshift

AWS S3

AWS Lambda

AWS CloudWatch

AWS SNS

AWS SQS

AWS Kinesis

Terraform

Git

CI/CD

Our requirements

• 6+ years of experience with SQL, PySpark, Python;
• Framework knowledge: 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);
• Strong educational background in Computer Science, Information Technology, or a related field;
• Language proficiency: Advanced English (minimum B2 level).

Your responsibilities

• To own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage;
• To design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts;
• To build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization;
• To ensure quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews;
• To 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.