Spark/Big Data Developer

1 month ago

McLean, United States Hireteq Solutions Inc. Full time

Hireteq Client is looking for Spark/Big Data Developer for our client. This will be a fulltime position with Benefits.


Hybrid role - 3 days onsite

Client cannot sponsor visa or transfer visa on this role. Need GC, H4EAD and citizens.


JOB DESCRIPTION:

  • The data engineer role is a technical person who is involved with architecting, building, testing, and maintaining the data platform.
  • Data engineers will implement infrastructure for data processing, analysis, reporting, integrations, and machine learning model deployment.


RESPONSIBILITIES:

  • Technical expertise with distributed Spark or other distributed data processing technologies
  • Work with large, complex data sets and high throughput data pipelines that meet business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Build data and analytics tools that utilize the data pipeline to provide actionable insights to operational efficiency and other key business performance metrics.
  • Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
  • Collaborate with data scientists and architects on several projects.
  • Solve various complex problems.
  • Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics.
  • Developing efficient, scalable, and repeatable processes to transform data into insight on regular basis.


QUALIFICATIONS:

  • Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering
  • Previous experience as a data engineer or in a similar role
  • 5+ years of Python development experience is necessary.
  • Hands-on experience with database technologies (e.g. SQL and NoSQL)
  • Experience building high throughput data pipelines.
  • Technical expertise with distributed Spark or other distributed data processing technologies
  • Experience with machine learning techniques.
  • Great numerical and analytical skills
  • Ability to write reusable code components.
  • Open-minded to the new technologies, frameworks
  • Thorough business analysis skills
  • Understanding Blockchain system mechanism
  • Knowledge of data preparation techniques to aid statistical analysis.
  • Results-oriented self-starter who is confident in defending his/her critical thinking abilities.

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