Data Engineer

• Manage data warehouse plans for a product or a group of products
• Build data expertise and own data quality for allocated areas of ownership
• Design, build and launch new data models in production
• Design, build and launch new data extraction, transformation and loading processes in production
• Support existing processes running in production
• Interface with engineers, product managers and product analysts to understand data needs
• Work with data infrastructure to triage infra issues and drive to resolution

• Experience in working with Hadoop ecosystem
• Experience in the data warehouse space
• Experience in custom ETL design, implementation and maintenance
• Experience working with either a Map Reduce or Massively Parallel Processors system
• Experience with programming languages (Python preferred)
• Hands on and deep experience with schema design and dimensional data modeling
• Ability to analyze data to identify deliverables, gaps and inconsistencies
• Ability to write efficient SQL statements
• Ability in managing and communicating data warehouse plans to internal clients
• Academic degree in Computer Science or Mathematics is preferred

Our new client operates the world's largest network of collaboratively published content on the web. Its product is home to over 400,000 communities for fans, by fans. Our client is often cited as the best source of accurate, dynamic, and fresh fan-authored information that is fueling virtually all aspects of popular culture: console and mobile games, cable and streaming TV shows, music festivals, big movie franchises, major sporting events, anticipated book releases, fashion trends and DIY, food and drink recipes, and current events on an international scale. Client's fan base continues to fuel consistent growth with over 2 billion global monthly page views in over 200 languages -- more than 40% of the traffic coming exclusively from mobile visits. Fans find their favorite fandoms through seven distinct and discoverable hubs. - Games - Movies - TV - Comics - Music - Books - Lifestyle

We're looking for Data enthusiasts with a proven track record of setting up large data sets using Hadoop, Hive or Pig for data summarization, queries and analysis and at the same time good in scripting languages such as Perl or/and Python. There are several projects which assume migrating DWH to Hadoop, building new data storages for content aggregation, etc.