Senior Data Engineer (Banking domain)
Tasks
- Collaborate with stakeholders for reporting analytics regulatory and operational needs
- Define AWS data platform tooling selection
- Define orchestration and lineage with Apache Airflow
- Define schema governance and data mart design principles
- Design ingestion architecture CDC streaming batch
- Ensure data security privacy access control compliance controls
- Establish data governance practices data catalog data quality lineage metadata
- Establish data warehouse architecture and data modelling standards
- Guide and review Data Engineers delivery alignment
- Lead ingestion and processing pipeline decisions
- Own data platform architecture
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lake Formation | Access Control | Amazon Athena | Amazon MSK | Amazon Redshift | Amazon S3 | Apache Airflow | Apache Flink | Batch data | Batch data pipelines | Change Data Capture | Data Capture | Data Catalog | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Pipelines | Data Privacy | Data Quality | Data Security | Data Warehousing | Debezium | Kafka | Lake Formation | Lakehouse | Metadata Management | Python | Regulatory Compliance | Schema Design | Schema governance | Streaming Data | Streaming data pipelines
Education
Roles
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