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Data Architect
Ref No.: 17-04552
Location: Plano, Texas
Position Type:Contract
Start Date / End Date: 05/29/2017 to 11/30/2017
bank – Phone, WebEx – Plano, TX

We are looking for driven individuals to join our team of passionate data engineers in creating Capital Ones next generation of data products and capabilities:
  • You will build data pipeline frameworks to automate high-volume and real-time data delivery using EMR and Spark on AWS
  • You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners
  • You will transform complex analytical models into scalable, production-ready solutions
  • You will directly work with our data analyst team to continuously integrate the metrics they build into our on premise and cloud Production environments
  • You will develop applications from ground up using a modern technology stack such as Python, Spark, Postgres, Angular JS, and NoSQL
  • You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment
Responsibilities:
  • Work directly with our data analyst teams to build and optimize the next generation consumption data layers on the cloud
  • Develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business Customers
  • Build robust systems with an eye on the long term maintenance and support of the application
  • Leverage reusable code modules to solve problems across the team and organization
  • Utilize a working knowledge of multiple development languages
Basic Qualifications:
  • Bachelors Degree or military experience
  • At least 3 years in coding in data management, data warehousing or unstructured data environments
  • At least 3 years experience with leading big data technologies like Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, Zookeeper
Preferred Qualifications:
  • Bachelors degree in Computer Science, Math or related field
  • At least 2 years experience in the Home Loans industry
  • At least 2 years experience programming in Python, Java, or Scala
  • At least 2 years experience in realtime data platforms
  • At least 2 years experience developing web-based applications or data products
  • At least 2 years experience on Amazon Web Services
  • At least 2 years experience in SQL performance tuning
Experience working with Spark to create analytics