(Senior) Data Engineer (m/f/x)
Tasks
- Build and maintain cloud data platform
- Build data pipelines
- Create data models for reporting and analytics
- Design aws data processing solutions
- Develop data pipelines monitoring components
- Develop data pipelines testing components
- Develop lakehouse for regulatory use cases
- Ensure data accuracy, reliability, and performance
- Ingest data from backend services and third parties
- Integrate data for decision-making
- Prepare and clean structured data
- Prepare and clean unstructured data
- Share best practices
- Stay current with data engineering and cloud architecture
Perks/Benefits
- Education budget
- German language classes
- Jobticket subsidy
- Pension plan
- Relocation support
- Urban sports club membership
- Work from abroad
Skills/Tech-stack
AWS | AWS DMS | AWS Glue | AWS IAM | Amazon Athena | Amazon Kinesis | Amazon S3 | Amazon VPC | Apache Airflow | Apache Flink | Apache Kafka | DBT | Data Modeling | Infrastructure as Code | PySpark | Python | SQL | Security groups | Spark Streaming | Terraform | Window Functions | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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