Skills – Required

• Confident in designing, building, managing, and owning a growing and complex database. Your past experience should reflect success with something similar
• Taking large heterogeneous datasets to deliver clean, synthesized streams of data into the world’s largest database of early stage private companies.
• Extracting insights using parallel transformation and processing techniques such as Map-Reduce
• Combining multiple sources of data from APIs, RSS feeds, and human input into a single, structured data store while dealing with issues of duplication, cross-referencing, relational structure, and non-relational/denormalized storage
• Developing processes to monitor and ensure data integrity
• Capturing data from human analysts and implementing QA processes
• APIs: REST, SOAP
• Dynamic languages such as Python
• MySQL/PostgreSQL, document-based stores such as MongoDB or CouchDB, and key-value stores (Memcached, Redis); their distinct advantages, disadvantages, and trade-offs
• Column-oriented stores (HBase, Cassandra), graph-oriented stores

Skills – Preferred

• Working with cross-functional teams, analysts, mathematicians, and engineers on projects including text mining, structuring data, and extracting entities
• Excited to find creative new ways to gain insights and information from a range of sources
• You want to know everything there is to know about new and innovative companies
• Ability and interest in evaluating new data sources