Big Data - Cloud Architect

Miami, Florida

Post Date: 05/22/2017 Job ID: 23255 Industry: Other Area(s)

Candidates can be located nationwide. Must be located near a major airport.

Responsibilities
  • Design, implement and deliver complete analytic solutions
  • Own the data architecture and infrastructure.
  • Architect, build and maintain high performing ETL processes, including data quality and testing
  • Define and build technical/data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling)
  • Develop analytics with a mind toward accuracy, scalability and high performance
  • Provide technical guidance and thought leadership to other programmer analysts in the team.
  • Establish lean data governance to drive data standards and data quality. Be an evangelist in the company for data-informed thinking and decision making.

 

Basic Qualifications
  • Hands-on experience with designing and implementing distributed architecture systems to tera/petabyte data handling using Open Source software.
  • Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS
  • Advanced knowledge of a programming language such as Java/Python/Scala 
  • Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop / Spark 
  • Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, Vertica, MongoDB, DynamoDB, Cassandra
  • Demonstrates broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in Hadoop production. 
  • Knowledge of working in UNIX environment with good amount of shell scripting and python experience. Knowledge in spring, Core Java, MapReduce. 
  • Hands on experience designing, developing, and maintaining software solutions in Hadoop Production cluster. 
  • Experience in architecting and building data warehouse systems and BI systems including ETL.
  • Outstanding analytical skills, excellent team player and delivery mindset.
  • Experience in performance troubleshooting, SQL optimization, and benchmarking.
  • Strong architectural experience in context of deploying cloud-based data solutions. 
  • Thorough understanding of service-oriented architectures and data processing in high-volume applications.
  • Full SDLC experience (requirements gathering through production deployment).
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