Role Overview
As a Software Engineer, Data Backend, you will be involved in helping to build critical components of Appier's AI-native solutions platform, designing and developing RESTful APIs, data warehouses, and data pipelines.
About Appier
Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Ex
Key Responsibilities
- Design, develop, and maintain RESTful APIs using Python.
- Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
- Design and develop data pipelines using Apache Airflow and Apache Spark.
- Work closely with cross-functional teams to develop automation tools that streamline daily operations.
- Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
- Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
Requirements & Eligibility
- BS/MS degree in Computer Science
- 5+ years of experience in building and operating large-scale distributed systems or applications
- Experience in Kubernetes development, Linux/Unix
- Experience in managing data lake or data warehouse
- Expertise in developing data structures, algorithms on top of Big Data platforms
- Ability to operate effectively and independently in a dynamic, fluid environment
Required Skills & Tech
PythonClickHouseTrino/PrestoPinot