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Home›Jobs›Appier›Software Engineer, Data Backend (Ad Cloud)
Appier

About Appier

AI solutions for smarter business decisions

🏢 Tech👥 251-1K📅 Founded 2012📍 Taipei City, Taiwan

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...

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Appier

Software Engineer, Data Backend (Ad Cloud)

Appier • Taipei, Taiwan

Posted 5 months ago🏛️ On-SiteJuniorBackend engineer📍 Taipei
Apply Now →

Job Description

About Appier 

Appier is a software-as-a-service (SaaS) 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 Exchange (Ticker number: 4180). Visit www.appier.com for more information.

 

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

 

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.
  • Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
  • Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

 

About you

[Minimum qualifications]

  • BS/MS degree in Computer Science
  • 2+ 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
  • Ability to work in a fast-moving team environment and juggle many tasks and projects
  • Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

  • Experience working with ClickHouse is a big plus
  • Contributing to open source projects is a huge plus (please include your github link)
  • Experience working with Python, Scala/Java is a plus
  • Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
  • Experience with Public Cloud like AWS or GCP is a plus 

 

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