Junior Data Engineer Job Description Sample Template

JOB TITLE:

  • Junior Data Engineer

DUTIES and RESPONSIBILITIES:

  • Implement application-specific logical and physical data models.
  • Implement ETL processes.
  • Implement QC processes.
  • Maintain and document operational environment.
  • implementing new solutions designed by senior staff, troubleshooting problems in existing workflows, and brainstorming ways to solve new challenges.
  • Troubleshoot data-related workflows in support of the Analytics and Product teams.
  • Work with stakeholders including data, design, product, and executive teams, and assist them with data-related technical issues.

EXPERIENCE and QUALIFICATIONS:

  • Bachelor’s degree or equivalent experience.
  • Experience in at least 2 of the following areas: Snowflake, Azure Data Factory, Python, JSON, and Shell scripting.
  • Building, testing, and executing ETL packages, including automation of jobs.
  • Data cleansing and data normalization processes and procedures.
  • Excellent analytic skills associated with working on unstructured datasets.
  • Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

PHYSICAL DEMANDS:

  • While performing the duties of this position, the employee is regularly required to talk and hear via electronic devices (ie. computer, monitor, microphone, video, etc.) 
  • The employee frequently is required to use hands or fingers to operate a computer keyboard and mouse. 
  • Specific vision abilities required by this position include reading and viewing information on a computer monitor.