Senior Data Engineer (Markets and Wealth Unit)
Tasks
- Build and operate data processing solutions
- Collaborate with Oracle or Sybase warehouses
- Define data models and data contracts
- Design end-to-end data pipelines
- Develop ETL/ELT processes
- Enable analytics access with SQL engines
- Ensure data quality performance reliability
- Establish engineering standards
- Identify scalability performance and data quality issues
- Integrate internal and external data sources
- Lead Data Lakehouse architecture
- Manage data lakes
- Orchestrate data workflows
- Own large scale data products
- Review technical solutions and mentor engineers
- Support reporting with PowerBI
Perks/Benefits
- Additional vacation days
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- Paid leave
- Professional development training
- Special product discounts
- Volunteer time off
- Wellbeing resources
Skills/Tech-stack
AWS | AWS Glue | Amazon Athena | Amazon EMR | Amazon S3 | Analytical modeling | Apache Airflow | Apache Spark | Data Lakehouse | Dimensional Modeling | ELT | ETL | Iceberg | PowerBI | Python | SQL
Education
N/A
Roles
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