✨ About The Role
- Design and build performant and scalable data systems to support key engineering and product initiatives
- Architect cloud-native data solutions in AWS for data integration from various sources
- Focus on designing and building end-to-end data pipeline solutions for data ingestion, propagation, persistence, and services
- Provide guidance on Data Engineering best practices to enhance the organization's competency
- Mentor and support fellow engineers through code reviews, design reviews, and peer feedback
âš¡ Requirements
- Experienced polyglot technologist passionate about solving data problems at scale
- Proven track record in designing and implementing complex data systems from scratch
- Skilled in building data engineering solutions in an AWS environment with expertise in several AWS services
- Proficient in writing high-quality production code, preferably in Python or Go
- Broad experience with data persistence technologies and event-driven systems
- Comfortable with infrastructure and infrastructure as code technologies like Terraform
- Thrives in ambiguous situations and enjoys problem-solving as much as creating solutions