Job ID: CO-62749

Hybrid/Local SQL Server Developer with Google Big Query, Data Warehouse/Modeling, ETL, Python, Pandas, SqlAlchemy, Airflow, NiFi, dbt, Google Cloud Platform,Inmon, Kimball, Data Vault, CI/CD, Git, Terraform, Tableau, R Shiny, QA, and public health experience

Location: Denver, CO (CDPHE)
Duration: 6 Months
Position: 1

Description:
Overview: We are looking for a highly experienced Data Specialist with hands-on experience in SQL (ideally MS Sql Server/Google Big Query), Data Warehousing, and designing and writing code for ETL processes in Python.

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.
Hands-on 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 (Google Cloud Platform) 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 long-term contract position.
The ideal candidate should have strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.
The work may involve collaboration with cross-functional 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.