Data Engineer in San Francisco, CA at DISYS

Date Posted: 7/25/2018

Job Snapshot

Job Description

JOB SUMMARY

The Data Engineer will be responsible for leveraging new and emerging technologies to solve key technical challenges for our clients. The Data Engineer will act as an expert and trusted advisor who develops, implements, troubleshoots, and optimizes data solutions across many platforms.

This role will work closely with clients, partners and other business units to ensure consulting engagements are successful.


SUMMARY OF ESSENTIAL JOB FUNCTIONS

  • Responsible for design, development, and hands-on implementation of data intelligence solutions including data platform build-up, proof of concepts or pilot implementation, software development, software integration, and documentation
  • Perform hands on development of apache, big data technologies, and framework
  • Serve as a data intelligence technical resource in team’s efforts to determine the needs of our client’s businesses that will simplify and automate the applications as well as make them more efficient
  • Align solutions with standards and best practices working with cross-functional engineering and consulting teams
  • Collaborate and communicate with Sales and Account Management team to ensure smooth and successful delivery and assist with the identification of additional Advanced Services and Sales opportunities within the customer’s environment
  • Establish strong and lasting relationships with key stakeholders and decision makers in client organizations
  • Contribute to the development of internal best practices as well as new innovative consulting services offerings that we can take to market
  • Build a community and following around our company solutions and brand awareness

REQUIRED SKILLS AND EXPERIENCE

  • Bachelor’s degree from an accredited university required
  • Previous experience working for a consulting or services organization strongly preferred
  • 5+ years of software development experience in distributed systems and building large-scale applications
  • 5+ years of experience in building large scale, high performance, high availability systems and Strong Computer Science fundamentals (algorithms, data structures)
  • Hadoop, NoSQL or other Big Data certifications are a huge plus
  • Experience with Big Data technologies (SPARK, HDFS, HBase, Cloudera, MAPR, Hadoop and other frameworks in Hadoop ecosystem)
  • Deep knowledge of Hadoop tools (MapReduce, SPARK, Oozie, ELK, KAFKA, HUE, HBase)
  • Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly
  • Intermediate knowledge with software engineering best practices
  • Must be able to quickly understand technical and business requirements and be able to translate them into technical implementations
  • Ability to mix deep technical expertise with simple, everyday language to deliver a story that is memorable, educational and useful
  • Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment
  • Ability to approach customer and sales requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
  • Comfortable managing multiple and changing priorities, and meeting deadlines in an entrepreneurial environment
  • Motivated self-starter who loves to troubleshoot and solve challenging problems and feels comfortable working directly with customers

Job Requirements

Digital Intelligence Systems, LLC. is an Equal Opportunity Employer, M/F/D/V. We do not discriminate against any employee or applicant because they inquired about, discussed, or disclosed compensation. Email recruitinghelp @ disys.com to contact us if you are an individual with a disability and require accommodation in the application process.Digital Intelligence Systems, LLC. is an Equal Opportunity Employer, M/F/D/V. We do not discriminate against any employee or applicant because they inquired about, discussed, or disclosed compensation. Email recruitinghelp @ disys.com to contact us if you are an individual with a disability and require accommodation in the application process.