About the job
About Zartis
Zartis partners with organizations across the globe to drive AI transformation and deliver technology consulting services. Our engineers and technologists work on projects that shape how advanced technologies are integrated and scaled. With deep expertise in AI-driven platforms, secure API architectures, and cloud-native engineering, our teams support clients from planning and discovery through to product delivery.
We operate engineering hubs throughout EMEA and LATAM, collaborating with clients in financial services, healthcare, life sciences, energy, and climate. Projects at Zartis offer the chance to influence business outcomes and develop alongside leaders in the field. We are currently seeking a Senior Software Engineer (Java, Node.js) to join a fintech project in the European Union.
Project Overview
This role involves working with a distributed team to build financial process automation solutions. The aim is to improve productivity, reduce costs, and ensure compliance with industry regulations. Our environment values trust, innovation, and inclusion, bringing together professionals from a range of backgrounds.
The ideal candidate communicates clearly, makes thoughtful decisions, takes initiative, and pays close attention to detail. Experience building software from the ground up is highly valued.
What You Will Do
- Design and maintain data pipelines and ETL/ELT workflows, handling batch extraction, transformation, and loading into analytics-ready repositories.
- Build and manage event-driven, serverless data processing systems using AWS tools such as S3, EventBridge, Lambda, and Athena.
- Develop Python-based components for data parsing and transformation within Lambda environments.
- Write and optimize SQL queries for data validation and analysis with Athena.
- Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight.
- Provision and manage data infrastructure with Terraform to ensure consistent deployments across environments.
- Implement CI/CD pipelines and set up monitoring and alerting to support reliable data platform operations.
- Improve and extend existing pipeline frameworks while working within legacy systems.
