
About Appier
AI solutions for smarter business decisions
Key Highlights
- Headquartered in Taipei City, Taiwan
- Over 1,000 clients including Toyota and Uniqlo
- $80 million raised in funding
- AI products like AIX and CrossX
Appier, headquartered in Taipei City, Taiwan, leverages Artificial Intelligence to provide data-driven marketing solutions for businesses. With over 1,000 clients across Asia, including major brands like Toyota and Uniqlo, Appier has raised $80 million in funding and is recognized for its AI-powered...
🎁 Benefits
Employees enjoy competitive salaries, stock options, flexible working hours, and generous PTO policies, including parental leave and remote work optio...
🌟 Culture
Appier fosters a culture of innovation and collaboration, emphasizing data-driven decision-making and a commitment to leveraging AI for impactful solu...
Skills & Technologies
Overview
Appier is hiring a Senior Software Engineer, Data Backend to design and develop robust data solutions. You'll work with Python, ClickHouse, and cloud platforms like AWS and GCP. This position requires 5+ years of experience in backend engineering.
Job Description
Who you are
You have 5+ years of experience in backend engineering, particularly in building and maintaining data-driven applications. Your expertise in Python allows you to design and develop RESTful APIs that are efficient and scalable. You are familiar with data warehousing solutions and have hands-on experience with technologies like ClickHouse, Trino/Presto, and Pinot.
You possess a strong understanding of data pipeline design and have utilized tools such as Apache Airflow and Apache Spark to streamline data operations. Your experience with cloud platforms like AWS and GCP enables you to leverage their capabilities for optimizing data workflows. You are also knowledgeable in container orchestration using Kubernetes, which facilitates efficient deployment and scaling of applications.
You are a proactive problem solver who enjoys collaborating with cross-functional teams to develop automation tools that enhance operational efficiency. Your ability to implement monitoring and alerting systems ensures optimal performance and stability of the systems you manage. You are committed to addressing client queries effectively, contributing to high client satisfaction.
Desirable
Experience with ClickHouse is a significant advantage, and contributing to open-source projects is a plus. Familiarity with Scala or Java, as well as big data systems like Hadoop, Hive, and Flink, will further enhance your profile.
What you'll do
In this role, you will design, develop, and maintain RESTful APIs using Python, ensuring they meet the performance and scalability requirements of Appier's data platform. You will build and manage robust data warehouses, utilizing technologies such as ClickHouse, Trino/Presto, and Pinot to store and analyze large datasets.
You will be responsible for designing and developing data pipelines using Apache Airflow and Apache Spark, enabling efficient data processing and transformation. Collaborating closely with cross-functional teams, you will develop automation tools that streamline daily operations, enhancing productivity across the organization.
Your role will also involve implementing state-of-the-art monitoring and alerting systems to ensure the optimal performance and stability of the applications you develop. You will address queries from applications in a timely manner, ensuring high client satisfaction and contributing to the overall success of Appier's solutions.
What we offer
At Appier, you will be part of a dynamic team that is dedicated to democratizing AI and turning it into ROI for businesses. We offer a collaborative work environment where your contributions will directly impact the success of our clients. You will have opportunities for professional growth and development, working with cutting-edge technologies in the AI and data space. Join us in our mission to empower businesses with intelligent software solutions.
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