Senior Data Engineer (Markets and Wealth Unit)
Tasks
- Build and evolve data lakehouse architectures
- Define data models and data contracts
- Design data pipelines
- Develop ETL/ELT processes
- Develop data processing jobs with Apache Spark
- Enable analytics with Amazon Athena
- Ensure data quality performance reliability
- Identify scalability performance data quality issues and drive improvements
- Implement Iceberg tables
- Integrate data from multiple sources
- Manage AWS data lake with Glue and object storage
- Orchestrate workflows with Apache Airflow
- Review solutions and mentor engineers
- Support reporting with PowerBI
Perks/Benefits
- Additional vacation weeks
- Flexible working hours
- Health days
- Health insurance after 3 months
- Hybrid work
- Paid leave for military training
- Professional training programs
- Special offers for company products services
- Volunteer time off
- Wellbeing resources
- Work from anywhere up to 90 days per year
Skills/Tech-stack
AWS | AWS Glue | Amazon Athena | Amazon EMR | Amazon S3 | Apache Airflow | Apache Spark | ELT | ETL | Iceberg | PowerBI | Python | SQL
Education
N/A
Roles
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