SparkBeyond SparkBeyond


Deployment Engineer, Americas

New York City

About The Position

Our Team’s mission statement:

We are on a mission to harness the collective intelligence of humanity to solve the world's most impactful problems. We created an AI-powered problem-solving engine capable of coming up with creative ideas, hypotheses and solutions for a broad range of problem domains and industries, thus enabling social and business impact – worldwide.

We are looking for a Deployment Engineer to make an impact managing and overseeing the deployments, upgrades and support of SparkBeyond’s technology across multiple client engagements.

What will you do?

  • Work closely with the SparkBeyond team and clients to understand the technical needs for each engagement. 
  • Install and upgrade SparkBeyond’s state-of-the-art AI powered engine in customer environments.
  • Analyze and troubleshoot complex issues in a dynamic production environment (Linux environment).
  • Direct communication with users about their Sparkbeyond deployment, data engineering needs and requirements.
  • Support data management activities such as load and transfer of Big data between variety of infrastructure.
  • Work with a variety of technologies, methods, platforms and practices both on cloud and on-premises (e.g. ELK, Prometheus, InfluxDB, Grafana, Python).

What will you need?

  • 5+ years of Linux admin experience (RHEL/CentOS/Ubuntu).
  • 5+ years of experience in Scripting Languages: Bash, Python, R and SQL.
  • 3+ years of experience in Containers (ie Docker), Apache spark, Hadoop.
  • Deep understanding of extract, transform and load tools and REST-oriented APIs for creating and managing data integration jobs.
  • Excellent communication skills written and verbal.
  • Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field and preferably 2+ years relevant experience.
  • Demonstrated knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems and content delivery network.

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