As an Engineer - Full Stack, you will work within the development team to build the annotation platform on both sides front-end and back-end. Collaborating with Product Managers, Architects and Software Engineers to research, design, implement and improve functionalities of the annotation platform as part of a Big Data analytic system.
Key responsibilities
- Design, develop, test, refactor and scale the next-gen data analytics platform, that provides data management, ETL pipelines, ML models integrations, rich visualizations, and information management around that.
- Be proactive in prototyping new ideas/components; Turn existing POC-level components into production-grade.
- Participate in code reviews and thoughtfully provide constructive feedback.
- Taking ownership of the whole vertical of certain functional area.
- Increase and maintain test coverage.
- Participate in overall architecture discussion meetings.
- Provide clean trail of activity source control, issue tracking, documentation.
Ideally, you'll also need
- Big data experience is added advantage (Spark, Flink, Kafka, S3)
- Experience building durable processing pipelines with Temporal.io
- Experience working with column oriented OLAP engines (Clickhouse)
- Experience integrating ML models into the custom data pipelines.
- Experience using Docker/Kubernetes/MLOps is also a plus.
This role is based in Abu Dhabi
