通用問題：
- 為什麼這個職位要招人？之前有過這個職位的人嗎？他是為什麼離職的？還是單純因為公司高速增長所以多了這個職缺？
- 你覺得大家想留在貴司的理由是什麼？文化、價值觀、薪資之類的嗎？
- 如果我錄取了，公司希望我在頭三個月內做的三件事情是什麼？
- 在你心目中，要成功地做好這份工作，需要做到哪幾點或特質？
- 公司怎樣衡量員工的 performance 的？
- 公司去年有遇到什麼重大問題？最後是怎麼克服的？
- 員工通常都待多久？
- 公司會辦什麼活動給員工參加嗎？
- (最後一題問)：剛才說過的話裡，有沒有哪些內容讓你覺得我不合適的？
如果我是面試官：
- Tell me about some of the most difficult problems you worked on and how you solved them.
- Why do you want this job?
- Why do you want to leave your current job?
- What is your biggest failure in your current job
for C 字輩：
- 公司的 core value?
- 如果員工犯錯，你都怎麼處理？（是看他犯錯讓他成長，還是插手干預？）
- 如果員工吵架，你都怎麼處理？
- 如果聽到員工在公司 talk behind others back，what would you do? (jaded employees)
- 如果屬下的提案你不同意，你都怎麼處理?
- 如果你要離開公司、公司倒閉，最有可能會是什麼原因？
- 你在這間公司犯過罪大的錯是什麼？
- 尋找雙贏的局面(理解對方的利益訴求）
- identify rival's negotiation style: if they're using a competitive negotiation style, we need to be ready for the chance that the deal might fall through
- 開局：
- 營造雙贏氛圍
- 扮演不情願的一方
- 開場開出高於心理預期的條件
- 永不接受對方第一次的出價
- 學會感到意外
- 使用沈默成交法
- 中場：
- 營造虛擬的上級
- 作出讓步時，要用遞減法，而且必須是交換
- 絕不主動提出價格折中策略，而是鼓勵對方提出（這樣他才會覺得是他主導他贏了談判）
- 遇到僵局，問題暫且放下，轉聊其他方面
- 終局：
- 可以揭穿對方的黑臉白臉策略、自己也用、或是找場外的虛擬上司做黑臉
- 用蠶食策略再多要利益
- 在不得已的情況下收回條件回到原點
- 談判結束後，要恭喜對方贏得了談判
通用問題：
為什麼這個職位要招人？之前有過這個職位的人嗎？他是為什麼離職的？還是單純因為公司高速增長所以多了這個職缺？
你覺得大家想留在貴司的理由是什麼？文化、價值觀、薪資之類的嗎？
如果我錄取了，公司希望我在頭三個月內做的三件事情是什麼？onboard 的時候希望先帶流程. If i was hired, what would you expect me to do in the first 90 days?
在你心目中，要成功地做好這份工作，需要做到哪些事？希望 open-minded, 股力溝通. In your opinion, what kind of personality or skill sets is required for this job?netbase: 細心、資料敏感度、溝通能力、工程能力、QA 能力
剛才說過的話裡，有沒有哪些內容讓你覺得我不合適的？ Did what i just said make you feel inappropriate for this position?
公司怎樣衡量員工的 performance 的？How do evaluate employee‘s performance?
公司去年有遇到什麼重大問題？最後是怎麼克服的？What’s the biggest challenge you’ve faced in ? how do you solve it?
員工通常都待多久？
公司會辦什麼活動給員工參加嗎？
這個團隊有幾個人？ How many people are there in ?
這份工作會用到哪些技術？ What’s the tech stack of ?
We are looking for someone with experience in multiple areas. Such as Scala/Java/Python, Hadoop, Hive, Spark, Spark Streaming, Flink, Presto, Hbase, Kafka, Zookeeper, Airflow.
Scala, Java, Python, Hadoop, Spark, Elasticsearch, Redis, Hbase
自我介紹一直沒有準備好：七個故事法啊！
目標、阻礙、努力、挫敗、意外、轉折、結局
目標：When i was 20 years old, i was pretty interested in data science, especially NLP area. So when i graduate, i joined Dcard, a Taiwan version of Reddit.
障礙：the first
to build recommendation system using some NLP model. After finishing the first edition, we had about 10% progress of user’s retention and the average time they spent on Dcard per day. But we met a bottleneck after that. Because Taiwan doesn’t have as much users as Reddit do, so sometimes there’s no contents for recommendation system to recommend. Therefore, i’ve been looking for a new company and want to be a machine learning engineer.
And then Tresl, which is my current company. it’s a us-based startup. At tresl, i take charge of warehouse architecting and ETL pipeline.
That’s the reason why i would like to apply this , i think my skill set really aligns this position and make me have more chance to use much Spark and Hadoop.
I’ve noticed that handshakes SEER is made of name entity recognition and nlp algorithm, which aligns to my experience. And i also have hands-on experience of ETL, Akka and Spark. I hope these would make me a good fit for Handshakes!
500 columns + 10M rows
用 nosql 或 casandra
wide table: clickhouse