Data Engineer Consultant
DAS42- Location
- USA, Remote
- Workplace
- Remote
- Employment
- Contract
- Salary
- USD 95,000–125,000/yr
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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