6 hours ago
Taipei, TaiwanSenior
Responsibilities
- Develop and operate data warehouse systems and ETL pipelines for data access, collection, processing, storage, and analysis.
- Manage deployments of the platform on public clouds across hundreds of global instances.
- Build and support big data and machine learning platform components using Apache Spark, Hudi, Trino, and related technologies.
- Lay the foundation for the platform and propose solutions to improve software development and monitoring.
- Handle hundreds of terabytes of data.
Requirements
- BS/BA degree in Computer Science.
- At least 2 years of experience building and operating large-scale distributed systems or applications.
- Experience building ETL pipelines with Apache Spark.
- Experience managing a data lake or data warehouse.
- Expertise in developing data structures and algorithms on big data platforms.
- Ability to work effectively and independently in a dynamic environment and manage multiple tasks and projects.
- Five or more years of Internet industry experience is preferred.
- Open-source contributions are preferred.
- Experience with Scala or Java is preferred.
- Experience with Hadoop, Hive, Flink, Presto/Trino, and related big data systems is preferred.
- Experience with public clouds such as AWS or GCP is preferred.
Tech Stack
Categories
BackendData Engineering
About Appier
Appier builds AI-driven advertising and marketing software for enterprises, offering programmatic ad bidding, customer data, and predictive tools delivered as SaaS. Founded in 2012 and headquartered in Taipei, it is a public company listed on the Tokyo Stock Exchange (ticker: 4180). Its Ad Cloud processes millions of bid requests per second across APAC, Europe, and the U.S., and is used by in-house and agency marketers.