Data Engineer

• At Trustly: mission to deliver a better way to pay and get paid; making Pay by Bank the new standard at checkout; connecting merchants and consumers globally.
• Work-from-anywhere policy allows employees in Brazil, the U.S., and Canada to work remotely within their country of residence; remote-first culture in Brazil.
• About the team: The DataOps team ensures data from applications, APIs, and tools is delivered in a secure, scalable, and structured way across multiple environments; works with batch (Airflow) and streaming (Kafka) pipelines; maintains platforms like Redshift and QuickSight; enables analytics and supports Data Science.
• Design, implement, and maintain the scalable data platform infrastructure (AWS, Kubernetes, EMR, Redshift, Glue, etc.).
• Manage and evolve client-faced tools and frameworks for data processing (e.g., QuickSight, Redshift Editor, Athena IDE, Metabase).
• Build and maintain secure, automated CI/CD pipelines for data components and infrastructure-as-code.
• Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform.
• Provide development environments, standardized workflows, and tooling (e.g., Sagemaker Studio, Athena IDE, Redshift Editor, etc.) to improve developer experience.
• Support version control, release workflows, and automation for data transformation, jobs, data workloads and integrations used by data producers and consumers.
• Ensure high availability and performance of data tools through observability and alerting integrations.
• Implement data quality and validation checks (e.g., dbt tests, unit tests).
• Contribute to maintaining data catalogs and documentation for lineage and governance.
• Investigate and resolve issues in data pipelines, workloads, and integrations to ensure SLAs are met.
• Documentation of data flows, architectural setup and data model.

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