Data Engineering Lead
Taipei, Taiwan
Appier
Comprehensive AI-Powered Solutions: Smoother Operaions. Elevated Customer Experience. Better Performance.Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.
About the role
Appier is looking for a Data Engineering Lead to guide the development of large-scale, best in class data products and foundations. Your teams (managers and senior IC’s) will work across multiple business departments and be responsible for stewarding data from end-to-end. You will be partnering with Solution, Machine Learning, and Product pillars to create a bold vision and roadmap to unleash the value of data across the Appier ecosystem.
Responsibilities of the role
- Work with tech leaders to design/build right architectural patterns, ETL frameworks, data governance, and data warehouse practices to set strategic direction for data engineering at Appier
- Work with upstream data producers, product managers, and business stakeholders to collect right data and build foundational data models
- Own vision for data warehouse and BI tools to build self service reporting infrastructure at Appier
- Own data reliability workstream to improve data quality and reliability of data pipelines and data products
- Establish best practices to improve data architecture, development process and data reliability
- Conduct yearly and quarterly planning to establish long term and short term goals for data teams
- Hire top talent to grow and nurture data engineering teams
About you
[Essential]
- 10+ years experience working in software development or data engineering
- 5+ years of management experience with hiring and growing large sustainable teams, managing through senior leaders/managers
- Exceptional communication and leadership skills, with a proven ability to operate in a fast moving environment
- Hands-on approach to closing gaps in data foundations and technical execution, reinforcing development standards and best practices that guarantee high quality, trustworthy data
- Strong understanding of data related security and governance/controls
- Prior experience with Data Warehouse and Data Lake solutions, Could environments, Big Data solutions, and Realtime Streaming solutions
- Knowledge of advanced visualization tools
Why join us?
We believe in building a great working environment where passionate individual can give their best, and to work with a talented team. To reward Appiers for their contribution, we also work hard to offer perks and benefits to make their life better
Perks and benefits
- Company office locations at the heart of central business district (CBD) in all our countries.
- Well stocked pantry with snacks and drinks
- Competitive salary
- Health insurance for all employees
- Your choice between Mac and Microsoft OS
- Frequent company and team gatherings to celebrate success and life in general
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Data governance Data pipelines Data quality Data warehouse Engineering ETL Machine Learning Pipelines Security Streaming
Perks/benefits: Career development Competitive pay Health care Startup environment
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