SQL Developer / Core Banking Data Engineer
Tasks
- Build cloud data infrastructure and metadata management
- Build event driven streaming pipelines
- Build ledger and transaction data models
- Conduct incident response and root cause analysis
- Create canonical domain models and golden sources
- Define data quality rules and monitoring
- Design data ingestion and transformation
- Design reconciliation controls
- Develop batch and streaming processing patterns
- Implement data pipeline observability
- Implement error handling replay and backfill
- Implement idempotent ingestion patterns
- Implement privacy by design controls
- Produce technical documentation for schemas and lineage
- Support audit and traceability requirements
- Translate requirements into data products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Alerting | Automated testing | Azure | Azure Data | Azure Data Factory | BigQuery | CDC | CI/CD | Dagster | Data Contracts | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Warehouse | Databricks | Dimensional Modeling | Domain-Driven Design | ELT | ETL | Encryption | GCP | GDPR | Git | Go | IAM | Incident Response | Infrastructure as Code | Java | Kafka | Key Management | Kotlin | Lakehouse | Monitoring | Object storage | Observability | Policy-as-Code | Python | SQL | SRE mindset | Scala | Schema Registry | Schema evolution | Secret management | Slowly Changing Dimensions | Snowflake | Synapse | Tokenization | “as-code”
Education
N/A
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