Application Architect III / Sr. Developer

Job Responsibilities: 
  • Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data applications
  • Building efficient storage for structured and unstructured data
  • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, Storm and Kafka on AWS Cloud
  • Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift
  • Utilizing Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, and Cassandra
  • Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Terraform, Ruby, Git and Docker
  • Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
 
Basic Qualifications:
  • Bachelor’s Degree or military experience
  • At least 5 years of professional work experience in data warehousing and data analytics
  • At least 4 years of experience in open source programming languages for data analysis
  • At least 3 years of Java development for modern data engineering
  • At least 3 years of data modeling development
  • At least 1 year of experience working with cloud data capabilities
 
Preferred Qualifications:
  • Master's Degree or PhD
  • 5+ years Java development experience
  • 4+ years of experience in Python, Scala, or R for large scale data analysis
  • 4+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)
  • 4+ years of UNIX/Linux experience
  • 2+ years of Agile engineering experience
  • 2+ years of experience with the Hadoop Stack
  • 2+ years of experience with Cloud computing (AWS)
  • 1+ years of experience with supervised machine learning

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