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Kinetica is a GPU-accelerated, in-memory analytics database
   Posted: Tuesday, November 27, 2018
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  Company Description

When extreme data requires companies to act with unprecedented agility, Kinetica powers business in motion. Kinetica is the instant insight engine for the Extreme Data Economy. Across healthcare, energy, telecommunications, retail, & financial services, enterprises utilizing new technologies like connected devices, wearables, mobility, robotics, & more can leverage Kinetica for machine learning, deep learning, & advanced location-based analytics that are powering new services. Kinetica's accelerated parallel computing brings thousands of GPU cores to address the unpredictability & complexity that result from extreme data.

For more information & trial downloads, visit or follow us on LinkedIn & Twitter.

Job Description

Kinetica is looking for an accomplished Java software engineer to join our growing consulting team. We are more than doubling annual revenue year-over-year, & our enterprise customer list is growing proportionally. We are seeking proven technical professionals who want to lead the charge on the front lines of an exciting & disruptive technology.

You will:

  • Work as a consultant with customers in developing a solution for a new proof-of-concept for the logistics industry
  • Translate business requirements & problems into solutions
  • Design, build, & deploy scalable, big-data driven, distributed architecture
  • Dedicated & flexible schedule - availability to sometimes work on weekends as required to support Production releases
  • BS or MS in Computer Science or equivalent
  • 5+ years of data analytics & data ingestion
  • Deep Expertise leveragingtools & techniques such as Hadoop Ecosystem, MapReduce, Spark,Hive, Kafka, Flume, SQL
  • 3+ years of post-college software development experience
  • Strong Java development skills (Spring Framework, MVC, JDBC, REST)
  • Experience with SQL (Oracle)
  • Strong understanding of Data structures & Algorithms
  • Strong understanding of Big Data Concepts & Streaming Architecture
  • Multithreaded & parallel process development

Soft Skills:

  • Great communication skills (verbal & written)
  • High-energy self-starter with a passion for data, attention to detail, & ability to work in a fast-paced environment with limited direction

Additional requirement:

  • Experience in banking, financial services or fintech
  • Open to travel (to client site)
Additional Information

All your information will be kept confidential according to EEO guidelines.

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