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Data Engineer - Mostly Remote
Location:
US-CO-Denver
Jobcode:
t90zy5
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Title: Data Engineer - Mostly Remote

Location: Denver, CO, United States

Length: Long term

Restriction: W2 or C2C

Description:

Interview : Skype *** Mostly Remote ; onsite as needed***

*** Candidate Must Be Local to CO or relocate ***

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 (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.

msysinc

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