Data Engineer - Snapask|Meet.jobs

Salary

600k - 1.2m TWD Annually

Required skills
  • Python
  • ,
  • R
  • ,
  • Big Data Infrastructure
  • ,
  • Amazon Web Services (AWS)

Job description

Founded in 2015 in Hong Kong, with the mission to maximize human learning ability with personalized learning, Snapask connects students to quality tutors for instant 1-on-1 learning support. Our technologies optimise students' learning experience with efficient and accurate tutor matching, content recommendation and learning data visualisation. Snapask is now in 8 markets in Asia including Taiwan, Hong Kong, Singapore, Malaysia, Thailand, Indonesia, Japan and South Korea, supporting over 3 million students with over 350,000 qualified tutors from top universities. 


On top of offering subscriptions on tutor Q&A service, we develop topic-based academic courses with live coaching support for students going through exam-preparations in high schools and universities. We are looking for talents specialised in the data analysis field to join us, to create and redefine the next generation of education. 


# What you are expected to do 

- Design, build and maintain the ingestion system to support various types of data (e.g. User behavior, RDS, NoSQL db and others) to be ingested to the data warehouse more timely and accurately 

- Develops processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it 

- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization

 - Works closely with a team back-end engineers and data scientists to develop strategy for long term data platform architecture


# Years of working experience

 2+ years data engineer related working experience


# Requirement 

- Experience in BigData infra build up, warehouse, data processing system 

- Experience in setting up workflow using Apache Airflow and others. 

- Experience with AWS cloud services: EC2, EMR, RDS, Redshift 

- Familiar with Hadoop, Spark and other data processing tools, experience of big data processing 

- Expert proficiency in Python, SQL.


【 Work place 】
Taipei: 台北市信義區基隆路一段200號9F-1

Snapask

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