Data Engineer II

  • location: Charlotte, NC
  • type: Contract
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job description

Data Engineer II

job summary:
Job Description:

Note : Candidates must be able to convert full time

- Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.

- Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.

- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.

- Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.

- Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.

- Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.

- Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.

- Create data models that will allow analytics and business teams to derive insights about customer behaviors

- Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

- Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.

- Develop techniques supporting trending and analytic decision making processes

- Apply technologies for responsive front-end experience

- Ensure systems meet business requirements and industry practices

- Research opportunities for data acquisition and new uses for existing data

- Develop data set processes for data modeling, mining and production

- Integrate data management technologies and software engineering tools into existing structures

- Employ a variety of languages and tools (e.g. scripting languages)

- Degree in Computer Science, Engineering, or related fields.

- 3-5 years of experience

 
location: Charlotte, North Carolina
job type: Contract
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.

- Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.

- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.

- Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.

- Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.

- Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.

- Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.

- Create data models that will allow analytics and business teams to derive insights about customer behaviors

- Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

- Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.

- Develop techniques supporting trending and analytic decision making processes

- Apply technologies for responsive front-end experience

- Ensure systems meet business requirements and industry practices

- Research opportunities for data acquisition and new uses for existing data

- Develop data set processes for data modeling, mining and production

- Integrate data management technologies and software engineering tools into existing structures

 
qualifications:
- Employ a variety of languages and tools (e.g. scripting languages)

- Degree in Computer Science, Engineering, or related fields.

- 3-5 years of experience

 
skills: Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.

- Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.

- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.

- Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.

- Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.

- Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.

- Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.

- Create data models that will allow analytics and business teams to derive insights about customer behaviors

- Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

- Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.

- Develop techniques supporting trending and analytic decision making processes

- Apply technologies for responsive front-end experience

- Ensure systems meet business requirements and industry practices

- Research opportunities for data acquisition and new uses for existing data

- Develop data set processes for data modeling, mining and production

- Integrate data management technologies and software engineering tools into existing structures


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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