Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Job Details
*Must pass a drug test and background check once offered position*
Scope:
- Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs.
- The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment.
- May provide consultative services to departments/divisions and leadership committees.
- Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required.
- Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights.
Requirements:
- Required hands-on GCP tech stack experience
- Advanced skills in several of the following: Terraform, GCP Dataflow, GCP Big Query, GCP DataProc, GCP Data Fusion, GCP Change Data Stream, Python/SQL, Cloud Functions, Cloud Events, Cloud Composer.
- GCP certification
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $40 - $77 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
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