Data Engineer

What you'll do -

1. You’ll take ownership and increase automation and scale of complex data sets that drive use cases by our data scientist team.
2. You'll build robust data pipelines of high data quality with real-time data processing frameworks in AWS (both data and maintainability).
3. Implement anomaly detection techniques for data quality to surface metric shifts on datasets with dozens of dimensions.
4. Have strong SQL skills and knowledge and familiarity with other distributed data stores such as ElasticSearch

Requirement -

1. Distributed data processing at scale and serverless data processing application
2. Large-scale storage and retrieval (DynamoDB, ElasticSearch)
3. Programming experience manipulating and analyzing data (Python, SQL, Shell)
4. Work closely with cross-functional teams of data scientists, analysts, product owners, marketers, designers, and others to identify opportunities for leveraging data to drive business solutions
5. In charge of architecture design and data flow development for data collection, processing, and analysis.

Nice to have -

1. Experience with AWS services common to serverless architectures (AWS Lambda, API Gateway, DynamoDB, IAM, etc.)
2. Experience building REST APIs and other common application architectures on the above services
3. Experience with AWS cloud services: EC2, EMR, RDS, Redshift
4. Experience with frameworks in the cloud. (AWS CDK, Chalice)

Please go to the link to see VeryBuy's life！
blog＆VeryBuy's linkedin



Events -
1. AWS Retail Web Day 2020 | 聰明打造零售雲通路

2. 2020 AWS Dev Day | VeryBuy 如何利用 AWS AI/ML 服務打造專屬推薦系統

3. 2021 AWS 台灣雲端高峰會 | 機器學習模型一把罩：建構、訓練及佈署


Media -
- VeryBuy 用「風格標籤」創造數據，讓新客變熟客

Blogs -
- 剖析VeryBuy資料科學團隊 （Data Foundation team ）
- 產品經理｜VeryBuy 資料產品經理（Data Product Manager, DPM）的日常

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