Sr. Data Engineer

Short Description

Nutanix is hiring a Sr. Data Engineer who Should be able to develop spark programs either using Python or Scala for faster data processing.

Job Description

Who are our employees?
We're an eclectic group of 4,000+ dreamers, believers, and builders, operating in over 40 countries. We're Hungry. Humble. Honest. With Heart. The 4H's: these are our core values and the DNA of our company. They help drive our employees to succeed, to strive to be better, to learn from every experience. Our employees are encouraged to have spirited debates and conversations and to think with a founder's mindset. This means we're all CEO's of the company and, as such, make the best decision every day that aligns with our company goals. It's through our values, our conversations, and mindsets that we can continue to disrupt the industry and drive innovation in the market.

Who are we in the market?
Nutanix is a global leader in cloud software and hyper-converged infrastructure solutions, making infrastructure invisible so that IT can focus on the applications and services that power their business. Companies around the world use Nutanix Enterprise Cloud OS software to bring one-click application management and mobility across public, private and distributed edge clouds so they can run any application at any scale with a dramatically lower total cost of ownership. The result is organizations that can rapidly deliver a high-performance IT environment on demand, giving application owners a true cloud-like experience. Learn more about our products at www.nutanix.com or follow us on Twitter @Nutanix.

Responsibilities:
  • Set the Hadoop cluster from scratch and implement the data pipeline for the telemetry data.
  • Ensure architecture will support the business requirements.
  • Work closely with business/product stakeholders in understanding requirements and translating them to technical requirements.
  • Should be able to develop spark programs either using Python or Scala for faster data processing.
  • Need to recommend and sometimes implement ways to improve data reliability, efficiency, and quality.

Requirements:
  • At least 5 years of experience in building big data pipelines using Kafka, spark and other Hadoop ecosystem tools.
  • Strong experience in any Big Data technologies like Kafka, Spark, Hadoop, HDFS, etc.
  • Excellent knowledge in optimizing large-scale data systems for scalability, resiliency, and performance.
  • Excellent skills in database schema design and SQL
  • Experience with business critical environment and production systems.
  • Good to have knowledge on installation set up of whole Hadoop cluster.
  • Bachelor degree in a technical field (Physics, Mathematics, Statistics, Computer Science, Engineering, etc.)

Sr. Data Engineer
Mid-Senior-level Information | Information Technology | Technology Full-time Engineering | Other | Information Technology Data Engineer
The Equal Employment Opportunity Policy is to provide fair and equal employment opportunity for all associates and job applicants regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, or disability. Nutanix hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

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