Data Engineer (Python) **Immediate need** - REMOTE

Company: Artech Information Systems
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 25.MAR.2021


Job Title: Data Engineer Location: Cupertino, CA / Remote Duration: 6+ months Job Description: We are seeking a smart and creative data eng...


Job Title: Data Engineer
Location: Cupertino, CA / Remote
Duration: 6+ months

Job Description:
We are seeking a smart and creative data engineer to join the Business Solutions team to design and develop state of the art data systems for our global Supply Chain & Operations teams. The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

Mandatory Skills:

  • 5+ years of technical industry experience
  • Experience tracking and measuring data quality for usage analytics, manufacturing, scientific research, or similar
  • Excellent programming skills in Python (coding/engineering side)
  • Programming experience in VueJS/React is a plus
  • Have solid understanding of both relational and NoSQL database technologies
  • Experience in designing and building data models to improve accessibility, efficiency, and quality of data
  • Solid understanding of fundamental Computer Science concepts
  • Excellent interpersonal skills and ability to work well with all levels of engineers by listening, communicating clearly, and actively sharing knowledge
  • Client model deployment, serving, and performance monitoring
  • Experience building scalable data pipelines using Spark, Kafka, etc. preferred but not required
  • Expanding data engineering
  • Relational Database
  • Experienced with scalable systems
  • Machine learning models in production
  • Experience developing machine learning models

Responsibilities will include:

  • Building a high-quality BI and Data Warehousing framework, implementing and operating data pipelines with an understanding of Client lifecycles
  • Driving development of data products in collaboration with data scientists and analysts
  • Reviewing and interpreting business requirements and translating them into data models for catering ad-hoc reporting capabilities.
  • Deploying inclusive data quality checks to ensure high quality of data.
  • Productionizing machine learning modules and provide capability to do data science at scale.
  • Possessing thorough knowledge of macOS and iOS is helpful.

Education & Experience
BS degree in Computer Science or related field, or equivalent professional experience.

- provided by Dice

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