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.