Data science állás, munka

Design and Develop Automation Frameworks UI and End-to-End Automation API and Backend Testing Integrate Testing into CI/CD Pipelines Champion Quality Collaborate Across Teams Mentorship and Knowledge Sharing Exploratory Testing...

Writing reusable, testable, and efficient code mainly in Python Delivering great user experience by development of great user interfaces Handling security and data protection professionally and precisely Providing technical solutions and implementing new software features collaboratively...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating the quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...