Data Engineer

Where we work:
Our AWS partnered analytics organization owns the world’s biggest financial data store and runs continuous analytics on global stock data movement. Our mission is to ensure investor protection and market integrity. We are constantly working on how to “hack/break” market systems with the goal of being ahead of potential bad actors in the market.

• Leading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithms
• We work on the world’s largest financial store (21 petabytes when complete). There is no other comparable opportunity in the market. We look at 130 billion financial transactions every day. That's more than Twitter, Visa®, Pay Pal and Facebook combined
• Google, Amazon, Facebook & other tech icons follow the client as a model and recruiting base
• Amazon Web Services- select Partner:
  We use cloud computing to automate and store massive amounts of data

• Stronger coder:
  Python or Scala preferred
• Strong Data analytics and Database skills - Graph
  
  DB Neo4j in particular but other DBs can be transferable
• Strong SQL
• Spark
• Testing
• AI assisted coding knowledge
• Someone curious to learn, great attitude.

• Neo4j/ Cypher, Graph DBs

The CLIENT's - Knowledge Graph team is looking for an experienced Graph Data Developer to join the team developing the next generation of graph-driven data solutions. Our products connect the people, places, and things enabling pattern detection, self-exploration, and machine learning applications. The right candidate thrives in a team-based environment focused on value and outcomes.

• Data analytics and processing in Spark
• Data profiling new data sources
• Design and support of graph architecture
• Identification of patterns in data
• Engage with upstream and downstream engineering partners in value pipeline improvements