Data Engineer Consultant
New
D
DAS42Data consultancy
Remote - USFull-TimeMiddle
Salary95,000 - 125,000 USD per year
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Job Details
- Experience
- 4 to 6 years of work experience in a data analytics or data engineering role.
- Required Skills
- AWSPythonBashBusiness IntelligenceGCPGitMicrosoft Power BISnowflakeJiraTableauData engineeringData modelingData analyticsAsanaBigQueryRedshiftLookerRGitHub
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.
- 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) and advanced SQL.
- 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) (preferred).
- Worked for a consulting/services organization (preferred).
- Worked with or for Media & Entertainment or Telecom companies (preferred).
Responsibilities
- Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.
- Develop system engineering, integrations, and architectures based on client needs.
- Implement and provide advice on data warehouse solutions, ETL pipelines, and business intelligence reporting tools.
- Develop a data model around stated use cases to capture client’s KPIs and data transformations. Validation and testing of data models.
- Teach technical data modeling concepts to a variety of audiences, including developers, data architects, business users, and IT professionals.
- Support, maintain, and document clients’ data environments.
- Work within a project management framework to meet objectives, understand scope, and impact of your work across an organization.
- Work with the Sales and Marketing teams to develop Thought Leadership and support our sellers by talking to clients about DAS42’s capabilities.
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