Data Engineer - Financial Services (Vilnius)
Tasks
- Build ETL/ELT frameworks
- Build data models
- Design batch pipelines
- Design real-time pipelines
- Enable self-service analytics
- Ensure security privacy governance auditability
- Implement data lineage
- Implement data quality checks
- Integrate core banking data
- Integrate messaging systems data
- Integrate payment gateway data
- Optimize pipeline performance
- Set up monitoring and observability
- Support regulatory reporting data
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Data | Azure Data Factory | Cloud Architecture | DBT | Data Factory | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Databricks | Dimensional Modeling | ELT | ETL | Event Hubs | Google Cloud | Kafka | Monitoring | Observability | Python | Relational databases | SQL | Semantic models | Testing | Web Services
Education
N/A
Roles
Analytics | Analytics Engineer | Data Engineer | Developer | ETL Developer | Engineer
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