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