JobHabor

Data Engineer Consultant

DAS42
Location
USA, Remote
Workplace
Remote
Employment
Contract
Salary
USD 95,000–125,000/yr
Apply on the employer’s site

Posted 4mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Guide clients on optimizing their data environment
  • Clarify management objectives through data solutions
  • Develop system engineering, integrations, and architectures
  • Implement and advise on data warehouse solutions, ETL pipelines, and BI tools
  • Develop a data model around stated use cases
  • Perform validation and testing of data models
  • Teach technical data modeling concepts
  • Support, maintain, and document clients’ data environments
  • Work within a project management framework
  • Work with Sales and Marketing teams to develop Thought Leadership

Requirements

  • 4 to 6 years of work experience in a data analytics or data engineering role
  • A passion for exploring and solving different kinds of problems
  • A desire to learn and assimilate technical information quickly
  • Exposure to developer tools/workflow (e.g. git/github, SSH)
  • Knowing how to get around a command line environment
  • Experience with project management (eg. Basecamp, JIRA, ASANA)
  • Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift)
  • Experience with business visualization tools (e.g. Looker, Tableau, Microsoft PowerBI)
  • Experience with data warehousing and using Snowflake
  • Experience optimizing database/query performance
  • Proficiency with a scripting language (e.g. Python, R, Perl, bash)
  • Proficiency with advanced SQL

Preferred

  • Bachelor's or Master’s degree – in a quantitative field (i.e. Statistics or Operations Research) or technical field (i.e. Computer Science or Engineering)
  • Worked for a consulting/services organization
  • Worked with or for Media & Entertainment or Telecom companies

Skills

  • git
  • github
  • SSH
  • AWS
  • Google Cloud
  • BigQuery
  • Redshift
  • Looker
  • Tableau
  • Microsoft PowerBI
  • Snowflake
  • Python
  • R
  • Perl
  • bash
  • SQL

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