lunes, octubre 07, 2013

Pauta de preparación para pruebas técnicas de Amazon

Estas es la pauta de preparación que te hace llegar Amazon cuando postulas. Básicamente es lo que se espera uno debiera preparar.
¿Saben de otra empresa qué haga lo mismo? Yo no, y he hablado con muchas empresas. Este es el tipo de cosas que marca la diferencia entre las grandes empresas y el resto.

Work hard. Have fun. Make history.



Thank you for the interest in Amazon.com and taking the time to speak with us about some of the exciting opportunities that we have available.  We’ve put this document together to help give you an idea of what types of knowledge we expect some level of familiarity with.
Preparing for Your Interview
At Amazon.com we’re looking for talented engineers that can apply the knowledge that they’ve learned in school and in industry to solving some of the world’s most complicated software problems.  As such, our interviews are mainly focused on how well you can use your acquired knowledge to solve real world (or in some cases not so real world) problems.  Below is a list of broad areas that we expect people to be familiar with.  It’s certainly not required that you memorize all of the information outlined below, but this should serve as a helpful reference guide for the types of things you might want to brush up on before interviewing with Amazon.com.
Programming Languages
We do not require that you know any specific language before interviewing for a technical position at Amazon.com, but familiarity with a prominent object oriented language is generally a prerequisite for success.  Not only should you be familiar with the syntax of a language like C++, Java, or C#, you should also know some of the language nuances such as how memory management works, what some of the most commonly used collections or libraries are, etc.  You should be able to compare languages and talk about the tradeoffs between using language X vs. language Y.
Additionally, it’s considered a plus to be familiar with some scripting language such as perl, ruby, awk, etc.  It’s also nice to know the basics of regular expression as they are now a mainstay in both the object oriented and scripting worlds.
Data Structures
Most of the work we do involves storing and providing access to data in efficient ways.  This necessitates a very strong background in standard data structures.  You should know what each of these data structures is and how they’re implemented; what their runtimes are for common operations; and under what circumstances it would be beneficial to use one.  The below are in no particular order.
Array
Linked List
Tree (Tree, Binary Tree, Binary Search Tree, Red-Black Tree, etc.)
Heap
Hash Table
Stack
Queue
Trie
Graph (both directed and undirected)
Algorithms
It’s also important to know efficient ways manipulate data.  One great way of doing this is brushing up on some common algorithms.  We’ll expect that you can apply and discuss the tradeoffs between some commonly used algorithms.
Sorting
Bubble Sort
Merge Sort
Quick Sort
Radix/Bucket Sort
Traversals (On multiple data structures)
                Depth First Search
                Breadth First Search
Coding
Expect to be asked to code syntactically correct code – no pseudo code.  If you’re a bit rusty coding without an IDE or coding in a specific language, it’s probably a good idea to dust off the cobwebs and get comfortable coding with pen and paper.  The most important thing a software engineer does at Amazon.com is write scalable, stable, robust, and well tested code.  These are going to be the main criteria by which your code will be evaluated, so make sure that you check for edge cases and common error inputs as well as the “happy paths” through the code.
Object Oriented Design
Good design is paramount to extensible, bug free, and long living code.  It’s possible to solve a software problem in an almost limitless number of ways, but when software needs to be robust and extensible, it’s important to know some common techniques that help with this.  Using object oriented design best practices is one way to build lasting software.  You should have a working knowledge of a few common and useful design patterns (singleton, factory, adapter, bridge, visitor, command, proxy, observer, etc.) as well as know how to write software in an object oriented way with appropriate use of inheritance and aggregation.
Databases
Most of the software that we write is backed by a database somewhere.  A lot of the challenges we face come in to play when interfacing with existing data models and when designing new data models.  You should know the basics of how relational databases work, how to design relational database schemas, as well as how to write basic SQL queries against a database.
Distributed Computing
Our systems at Amazon.com usually have to work under very strict tolerances at high load.  While we have some internal tools that help us with scaling it’s important to have an understanding of a few basic distributed computing concepts.  Having an understanding of topics such as map-reduce, service oriented architectures, distributed caching, load balancing, etc. will help you in formulating answers to some of the more complicated distributed architecture questions you might encounter.
Internet Topics
This is Amazon.com, we’re an online company and we expect our engineers to be familiar with, at least, the basics of how the internet works.  You might want to brush up on how internet browsers do what they do, DNS lookups, what TCP/IP and HTTP are, sockets, etc.  We’re not looking for network engineering types of qualifications, but a solid understanding of the fundamentals of how the web works is a requirement.
Operating Systems
You won’t need to know how to build your own operating system, but you should be familiar with some OS topics that can affect code performance, such as memory management, processes, threads, synchronization, paging, multithreading, deadlocks (causes, detection, avoidance).

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