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Role Data Base Analyst
Location: Denver Colorado 80246
Note: Must be Locals only
Duration: 6 Months
Job Description:
Primary Responsibilities:
Refine Data Warehouse Model.
Improve existing Python ETL (Extract Transform Load) code.
Work with business teams to identify data reporting requirements.
Required Experience:
Data Modeling
Proficiency in SQL ideally with experience in MS SQL Server and Google BigQuery.
Handson experience in Python ETL coding.
Familiarity with Python libraries such as Pandas SqlAlchemy etc.
Experience with ETL tools such as Airflow NiFi dbt or similar.
Desired Experience:
Knowledge of Google Cloud Platform (GCP) services.
Familiarity with Data Warehouse methodologies like Inmon Kimball or Data Vault.
Experience with Continuous Integration/Continuous Deployment (CI/CD) tools such as Git Terraform etc.
Proficiency in reporting tools like Tableau or R Shiny.
Experience working with public health data is a plus.
A keen interest in code and quality assurance.
Additional Details:
This is a longterm contract position.
The ideal candidate should have strong problemsolving skills and the ability to communicate effectively with both technical and nontechnical stakeholders.
The work may involve collaboration with crossfunctional teams and the ability to adapt to evolving project requirements.
The candidate should demonstrate a proactive approach to learning and keeping up with advancements in technology and industry best practices.
Work Environment:
Remote work
Flexibility in working hours may be required to accommodate different time zones or project deadlines.
MS SQL SERVER , TABLEAU , SQLALCHEMY , R , SQL , GIT , TERRAFORM
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