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Big Data Software Engineer - Azure Loc: New York City, NY,


2016-12-12 07:32:34
Job Type: Full Time only
Budget $: 100,000 - 200,000

Responsibilities

  • Rapidly architect, design, prototype, and implement architectures to tackle
  • The Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
  • Work in cross-disciplinary teams with industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails, financial data, and operational dataResearch,
  • Experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft AzureArchitect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and own clusters
  • Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains such as risk management, product development, marketing research, supply chain, and public policy; communicate results and educate others through insightful visualizations, reports and presentations
Qualifications

  • Bachelors degree from an accredited college or university in Computer Science, Computer Engineering, Engineering, or a related field with five years of experience; or a Masters degree or PhD with two years of experience
  • Fluency in several programming languages such as Python, Scala, or Java, (Cortana Intelligence Suite) with the ability to pick up new languages and technologies quickly
  • Understanding of cloud, and distributed systems principles, including load balancing, networks, scaling, in-memory vs.
  • DiskExperience with Large Scale/ Big Data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or StormStrong written and verbal communication skills,
  • Ability to work in dynamic team environments, and multi-task effectively
  • Proficiency in Unix/Linux environments and ability to develop in terminal environments
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future


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