Data Engineer

Job Category:       Engineering

Location:               Remote

Duration:              06 Months+

 

JOB DESCRIPTION:

The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.

 

Job Responsibilities:

  • Design, construct, install, test and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices.
  • Design, implement, automate, and maintain large scale enterprise data ETL processes.
  • Build high-performance algorithms, prototypes, predictive models and proof of concepts.

 

Skills:

  • Ability to work as part of a team, as well as work independently or with minimal direction.
  • Excellent written, presentation, and verbal communication skills.
  • Collaborate with data architects, modelers, and IT team members on project goals.

 

Education/Experience:

  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
  • Auditing /compliance experience would helpful
  • Python and SQL skills, pipeline center
  • Operational work, work on granting permissions, on-call duties, data migration, pipeline maintenance
  • Not Project Management but operational work- heads down technical work

 

Must-Have Skills:

  • Data engineer, data analyst with sufficient technical skills (strong SQL skills, some programming skills)Design, implement, automate, and maintain large scale enterprise data ETL processes.
  • Design, construct, install, test and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices.
  • Data Modeling

 

Nice-To-Have Skills:

  • cloud systems (AWS), APIs, sales/financial/revenue reporting.
  • successful background: Has done data warehousing, built pipelines (code based), big data, 2-3 years industry experience.

 

Additional Information:

  • Possibly extended beyond 6 months if work is satisfactory.
  • 2 round interviews: 1st round- SQL/Data modeling. 2nd round- Python and pipelining.