2 months ago
Taipei, TaiwanMid Level
Responsibilities
- Design, implement, and maintain cloud-based analytics and data processing services using Golang and AWS.
- Develop production ETL pipelines for structured and unstructured data at scale.
- Build scalable real-time and batch data ingestion and transformation systems.
- Collaborate with data engineers, backend developers, and product teams on data models and analytical workflows.
- Optimize data processing pipelines for performance, cost, and reliability.
- Ensure data accuracy, integrity, and security throughout the data lifecycle.
- Monitor data pipelines and cloud infrastructure, resolve incidents, and improve observability.
- Contribute to architecture decisions and engineering best practices for analytics systems.
Requirements
- At least 3 years of cloud or backend development experience using Golang or Python.
- Hands-on production experience building and maintaining ETL pipelines or data processing workflows.
- Strong familiarity with AWS Lambda, S3, Kinesis, Glue, Athena, and RDS.
- Understanding of distributed systems, data streaming, and cloud-native architecture.
- Proficiency in RESTful API development, microservices design, SQL, and analytics-oriented schema design.
- Knowledge of version control and CI/CD practices.
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
- Strong debugging, analytical thinking, and communication skills.
- Proficiency with AI development environments such as Cursor and Claude Code, and expertise in AI development techniques such as Spec-Driven Development.
- Preferred experience with real-time analytics systems and streaming platforms such as Apache Kafka or Amazon Kinesis.
- Preferred familiarity with data lakes, data warehousing, and metadata management.
- Preferred experience with data quality assurance, validation, and pipeline testing frameworks.
- Preferred understanding of data governance, compliance, and security best practices.
- Preferred experience optimizing cloud cost and performance in large-scale analytics environments.
- Preferred experience with ML feature pipelines or integrating data with machine learning workflows.
Tech Stack
Categories
Data Engineering
About Ubiquiti
Ubiquiti builds networking hardware and software platforms for businesses, internet service providers, and smart homes, sold under the UniFi, UISP, and AmpliFi brands. Its portfolio includes Wi‑Fi access points, switches, routers, wireless backhaul, security cameras, and management applications, sold primarily through channel partners and online. Founded in 2005 and headquartered in New York, the public company (NYSE: UI) has shipped over 100 million devices worldwide.