Data Engineer
Tasks
- Architect data lake for analytics and reporting
- Build batch and real time ingestion frameworks
- Build reconciliation frameworks across processors wallets and settlement reports
- Design scalable data pipelines
- Design schemas for TPV revenue recognition settlement tracking partner reporting
- Enable BI dashboards for analytics and operations
- Enable lending and risk modeling with structured datasets
- Ensure compliance with fintech and data protection regulations
- Ensure payment and utility transaction integrity and reconciliation
- Implement data security encryption and access controls
- Implement monitoring for anomaly detection
- Maintain audit logs and data lineage
- Optimize database performance and uptime
- Support experimentation frameworks
- Translate business requirements into data solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Amazon Kinesis | Amazon Redshift | Apache Airflow | Audit Logging | BigQuery | Cloud platform | DBT | Dagster | Data Lake | Data Lineage | Data Security | Data Warehousing | Database optimization | ELT | ETL | Encryption | Google Cloud | Google Cloud Platform | Indexing | Kafka | Microsoft Azure | Partitioning | PostgreSQL | PubSub | Python | SQL | Snowflake | Streaming Data
Education
N/A
Roles
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