Senior Data Platform Engineer
4 weeks ago
Our mission at Trustly is to transform into a truly data-driven organization, and we're looking for a talented Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing and building a strong and reliable data foundation that will support operational data exchanges and eventually analytics and machine learning use cases.
About the RoleWe're currently building a new Data Platform on AWS, and we need a skilled Data Engineer to actively participate in its implementation and maintenance. Your primary goal will be to design and develop Trustly's Data Platform on AWS, ensuring it's scalable, efficient, and secure.
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 our 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
- Help us identify new use-cases for our data and collaborate with stakeholders from the rest of the organization on how to realize those
- Master's degree in Computer Science, Engineering, or a related field
- At least 7 years of experience as a data engineer/data architect
- Proficient in designing and building complex data pipelines and data processing systems
- Experienced with SQL/NoSQL databases (PostgreSQL, Redshift, MongoDB)
- Proficient in building stream processing systems using Kafka
- Accustomed to data governance principles, ensuring data quality, security, and compliance
- Experienced with cloud platforms such as AWS or GCP
- Proficient in Python, SQL, dbt, Airflow, Airbyte, S3, Hudi, Athena, Kubernetes, and CI/CD process
- Familiar with self-service reporting and machine learning use cases and their prerequisites in terms of data infrastructure
We're looking for a highly motivated and dedicated individual who thrives in a fast-growing company. If you're passionate about data engineering, AWS, and leadership, we want to hear from you
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