Senior Big Data Architect - Build Scalable Backend Systems

Axius Inc

Austin (TX)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Axius Inc in Austin, Texas, is seeking a senior software developer to be responsible for the overall architecture of our back end systems. This position requires significant experience with enterprise-level data architecture and large database interactions.

The ideal candidate will have 10+ years of experience, especially with technologies like Hadoop, Java, and Postgres, and will work closely with teams to innovate data mining algorithms and maintain scalable systems.

Qualifications

  • 10+ years of professional software experience.
  • Strong math and statistical background.
  • Experience developing applications in Java and utilizing Java platform technologies.

Responsibilities

  • Responsible for overall architecture for our back end system.
  • Works closely with the Director of Big Data to design, develop, test and maintain back end systems.
  • Provide unit tests for software applications.
  • Participate in multi-disciplinary projects.
  • Work with analysts creating cutting edge data mining algorithms.

Skills

Experience with enterprise level data architecture
Prior experience in Hadoop / MapReduce / Cascading / Hive / HDFS
Experience with large database interactions (Postgres)
Experience with highly scalable systems
Ability to learn and apply new technologies quickly
Excellent problem-solving abilities
Excellent verbal and communication skills

Education

BS in Computer Science or other technical discipline

Tools

Java
Python
R
Hadoop
Postgres

Job description

Axius Inc in Austin, Texas, is seeking a senior software developer to be responsible for the overall architecture of our back end systems. This position requires significant experience with enterprise-level data architecture and large database interactions.

The ideal candidate will have 10+ years of experience, especially with technologies like Hadoop, Java, and Postgres, and will work closely with teams to innovate data mining algorithms and maintain scalable systems.

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