Senior Data Engineer (Markets and Wealth Unit)
Tasks
- Build and operate Apache Spark processing on AWS EMR
- Build data lakehouse architectures
- Define data models and data contracts
- Design end-to-end data pipelines
- Develop ETL/ELT processes
- Drive continuous improvements
- Enable analytics access with Amazon Athena
- Ensure data quality performance reliability
- Identify scalability performance and data quality issues
- Implement AWS Glue data lakes
- Implement data lakehouse on AWS
- Integrate data from multiple sources
- Manage Iceberg tables
- Mentor engineers and provide technical leadership
- Orchestrate workflows with Apache Airflow
- Support reporting with PowerBI
Perks/Benefits
- Additional vacation weeks
- Flexible working hours
- Health days
- Health insurance
- Hybrid work
- LinkedIn Learning
- Paid leave for military training
- Training programs
- Volunteer time off
- Wellbeing resources
- Work from EU in EU Iceland Switzerland and UK
Skills/Tech-stack
AWS EMR | AWS Glue | Amazon Athena | Amazon S3 | Analytical Data | Analytical data modeling | Apache Airflow | Apache Spark | Data Contracts | Data Modeling | Data Quality | Dimensional Modeling | ELT | ETL | Iceberg | PowerBI | Python | SQL
Education
N/A
Roles
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