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Cloud-Based Data Infrastructure Specialist
4 days ago
We are looking for an experienced data engineer to join our team at Trustly.
The successful candidate will have a proven track record of designing and implementing data platforms on AWS.
The role involves working with the Data Platform team to build and maintain batch and streaming data pipelines from internal and external data sources.
The ideal candidate should be proficient in programming languages like Python, SQL, and dbt, and have experience with cloud platforms such as AWS or GCP.
The role also involves optimizing data processes for efficiency and scalability, implementing data security measures, and participating in data governance efforts.
About the RoleYou will work closely with cross-functional teams to identify new use cases for our data and collaborate with stakeholders to realize them.
The goal is to create a robust data architecture that supports Trustly's evolving data needs.
Key Responsibilities- Design and develop Trustly's Data Platform on AWS
- Build and maintain batch and streaming data pipelines from internal and external data producers
- Work with transformations of data from one or multiple source systems to feed downstream applications
- Optimize data processes for efficiency and scalability
- Implement data security measures and access controls to protect sensitive information
- Participate in data governance and compliance efforts to meet regulatory requirements
- Provide technical expertise and guidance for critical data projects
- Continuously optimize data architecture to support Trustly's evolving data needs
- Identify new use-cases for our data and collaborate with stakeholders on realizing those
- A Master's degree in Computer Science, Engineering, or a similar field
- At least 7 years of experience as a data engineer/data architect
- Extensive experience in designing and implementing data platforms on AWS
- Proficient in building stream processing systems using Kafka
- Experienced with cloud platforms such as AWS or GCP
- Proficient in Python, SQL, dbt, Airflow, Airbyte, S3, Hudi, Athena, Kubernetes, and CI/CD processes
- Familiar with self-service reporting and machine learning use cases and their prerequisites
- Strong leadership skills and ability to thrive in a fast-growing company
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