Data Engineer

DATA ENGINEER - AD ANALYTICS DATA WAREHOUSE

Be part of a team that is changing the way online marketing works. Our client is applying the latest machine learning and big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. These technologies are applied on terabytes of data a day (over 10B new events per day) operating petabyte size clusters. The team seeks to measure every possible signal indicating impact of advertising to provide the most objective result of marketing spends. BE PART OF A SMALL TEAM OF INDUSTRY LEADING ENGINEERS THAT DEFINE NEW AVENUES OF BIG DATA PROCESSING AND CHANGE THE WAY ONLINE MARKETING WORKS.

We are looking for Engineers to build and deliver comprehensive platform products. You should want to work on projects where you are implementing solutions to real problems that require creative solutions and deep understanding of the problem space. You challenge yourself and others to constantly come up with better solutions. You can persevere through seemingly impossible problems to make an impact. You're a thought leader, but you don't just know how to solve the problem, you prove it by building the solution. You want to create value and impact the direction of entire industries.

Some problem spaces we'll be working on:

ADVERTISING PERFORMANCE: Measure performance of advertising campaigns most relevant to the advertiser's goals by evaluating billions of impressions/interactions/conversions with mathematical models. Unlike any other advertising platform, this team builds data platforms that leverage the wealth of shopping insights to improve performance of marketing campaigns. Their vision is to make advertising performance measurement self-service for all advertisers and agencies.

VIZUALIZING ANALYTICS: Not just about pretty charts, but unlocking the value in terabytes of data by producing easy-to-understand visuals for advertisers and internal data scientists. How would you show the dimensions that are most relevant to slice a data-set by? How would you allow querying and displaying a year's worth of campaign performance data in under a second after the user chose to filter by a different dimension? Internally build solutions allow provide opportunity to indulge in the latest statistical modelling approaches.

LIFT ANALYSIS: Knowing that a customer purchased a product after seeing an ad does not necessarily imply that the customer's behavior was changed by seeing the ad. Teasing apart causation from correlation is difficult at best, and seemingly impossible at worst, but seemingly impossible problems are just opportunities awaiting creative solutions. Use the latest machine learning algorithms to identify the precise value of advertising.

We're looking for smart, proven Engineers; if you're the right candidate, we're flexible. Here are some things that we'd prefer to see:

- Prior experience working with either a Map Reduce or a MPP system
- Big data projects using Hadoop, Hive, and other open-source tools/technologies
- Prior experience with designing data models and ETL systems
- Prior experience with Object Oriented programming languages
- Experience with Agile (SCRUM, RUP, XP), database and data mining systems
- Sharp analytical abilities and proven design skills
- Track record of delivery
- 5+ years of industry experience

BASIC QUALIFICATIONS:

- 3+ years of data warehouse development experience
- Bachelor's degree preferably in computer science, Math, Physics or related field
- Experience in an OO language and SQL

PREFERRED QUALIFICATIONS:

- Master's degree in Computer Science, Math or related field
- 5+ years of industry experience
- Experience in big data using Hadoop, Hive, and other open-source tools/technologies
- Experience in designing and building data warehouse systems
- Experience in data visualization software or general UI experience
- Experience in writing and optimizing SQL queries