AWS Tableau Data Visualization & Cloud Analytics Engineer

Remote Full-time
DIRECT CLIENT:

Data Visualization & Cloud Analytics Engineer

3+ months Extendable

Carson City, NV

100% Remote

Project Overview

The IT Division is looking for Data Visualization & Cloud Analytics Engineer will work on the following, but not limited to:

· Organize, configure, and optimize existing Tableau Server installations; assist with permissions,

performance, and content governance.

Design and develop clear, scalable Tableau dashboards and data models per client criteria.

· Build AWS-based data marts using S3, Redshift, Glue, and related services.

· Develop ETL and ingestion pipelines using AWS Glue and AWS DMS.

· Migrate and modernize Microsoft SSIS, SSAS, and SSRS solutions into AWS-native architectures

per client criteria.

· Ensure data quality, security, and documentation across analytics workflows.

· Maintaining strict confidentiality, privacy, and security of all Nevada State data.

Deliverables

The Data Visualization & Cloud Analytics Engineer must:

· Complete work and project tasks assigned.

· Provide needed documentation for tasks assigned.

· Provide detailed status reports of tasks assigned, and hours spent on each task, including:

o status of the project in terms of the approved project plan and schedule

o document problems that were encountered and proposed/actual resolution

o document issues that need to be addressed

o document accomplishments during the period

o document activities to be accomplished during the next reporting period

o log activity and time using client time tracking software (Jira) daily.

Experience and Skills Required

The Data Visualization & Cloud Analytics Engineer must have:

The capability to perform the functions described in Scope of Work section.

· a bachelor’s degree in computer science, or any other equivalent degree, along with a

· a minimum of nine (9) years of relevant professional experience.

o Hands-on Tableau Server administration and dashboard development experience.

o Strong AWS data engineering skills (Glue, Redshift, S3, IAM, Lambda).

o Experience with ETL/ELT design, including AWS Glue and DMS.

o Proficient in SQL and modern data modeling practices.

o Background with SSIS, SSAS, and SSRS, including migration or modernization work.

o Excellent English spoken and written communication skills.

o Excellent collaboration skills and strong commitment to working in a team environment with other contractors/consultants and permanent employees under a complex team structure.

o A proven history in designing, developing, and maintaining enterprise data marts.

o A proven history in designing, developing, and maintaining enterprise level ETL processes and data pipelines in AWS Cloud with ASW Glue and AWS DMS.

o A proven history in designing, developing, and maintaining BI reports and visualizations with

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