Qualifications
Minimum Qualifications
BS/MS degree in Computer Science or a related technical discipline
2+ years of hands-on experience in constructing and managing large-scale distributed systems
Strong proficiency in Java and/or Scala for production-level development
Demonstrated experience in building ETL pipelines and data processing workflows utilizing Apache Spark
Experience in managing and optimizing data lakes or data warehouses on a large scale
Ability to operate independently and adapt swiftly in fast-paced, dynamic environments
Self-motivated, proactive learner who takes ownership, effectively manages multiple priorities, and excels in collaborative team settings
About the job
About Appier
Appier is a leading software-as-a-service (SaaS) company that harnesses the power of artificial intelligence (AI) to transform business decision-making. Established in 2012, our vision is to democratize AI, and our mission is to convert AI capabilities into tangible ROI by enhancing software intelligence. With 17 offices strategically located across the APAC region, Europe, and the United States, we are proudly listed on the Tokyo Stock Exchange (Ticker: 4180). For further details, visit www.appier.com.
About the Role
We are seeking a seasoned Data Engineer to spearhead the development and scalability of our data infrastructure. You will engage with mission-critical systems that drive our data-centric decision-making processes, designing resilient pipelines and optimizing distributed platforms for handling extensive datasets.
About Appier
At Appier, we are pioneers in the SaaS industry, leveraging AI to provide businesses with intelligent decision-making tools. Our commitment to democratizing AI ensures that companies of all sizes can benefit from advanced technology, driving innovation and efficiency in their operations.