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.
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.