KAYAK and momondo are building the world’s leading travel search engine.
We are looking for a Data Engineer to join momondo & KAYAK’s Business Analytics team in our Copenhagen office. This person should love working on data parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data. Good candidates would have a passion for processing data to help drive better business decisions in a fast-paced environment.
The real question is how do we define "success"? Is success making a lot of money? How much is enough to qualify as "successful"?
We tend to narrowly define success based solely on extrinsic values like money and status, rather than intrinsic values like mastery, purpose, and happiness.
I think the author is saying that focusing on mastery is more likely to lead to "success" in the form of happiness and a greater sense of purpose, regardless of whether or not it also leads to material wealth. Personally, I agree with this more holistic view of success.
Each individual has define success and wealth for themselves. Money is a default because it is easy to measure, this does not mean it is the right metric to use.
For anyone interested in cheat sheets, I maintain a cheat sheet directory. There are currently 25 HTML5 cheat sheets listed (including this one) - http://devcheatsheet.com/tag/html5/
I am the founder of DevCheatSheet. Pleasantly surprised to see my site on Hacker News again. Thanks bemmu!
I'm happy to answer any questions you may have about the site. Also, let me know if you have any feedback.
To answer some of the common questions/feedback:
* So far I have been focused on adding content, but now the site needs some sort of filtering to identify the relative value of each cheat sheet and easily find what you are looking for. I am still exploring different options for this including: page-rank type popularity scores, HN-style up/down voting, or traditional user star ratings.
* Every cheat sheet is manually reviewed. I don't add every single page that calls itself a cheat sheet. There is definitely a wide range of quality, but this is somewhat inevitable given this is user-generated content aggregated from around the web. This is not necessarily a bad thing: for example, an obscure topic might only have one single low-quality cheat sheet, but this is still useful and better than no results.
KAYAK and momondo are building the world’s leading travel search engine.
We are looking for a Data Engineer to join momondo & KAYAK’s Business Analytics team in our Copenhagen office. This person should love working on data parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data. Good candidates would have a passion for processing data to help drive better business decisions in a fast-paced environment.
Tech stack: Python, SQL, Vertica, Redshift, Hive, Airflow, Tableau, Django, S3, Google Analytics
Responsibilities:
- Build ETL pipelines to extract data from various data sources including external APIs, parse, clean, and load into optimized database tables
- Design high-performance database schemas and optimize SQL queries
- Create dashboards, reports, and data visualizations
- Identify trends, investigate anomalies, and work closely with business stakeholders
https://www.momondo.dk/content/jobs/?hr=show-job%2F21957