- Refine Data Warehouse Model.
- Enhance existing Python ETL (Extract, Transform, Load) scripts.
- Collaborate with business teams to determine data reporting needs.
- Data Modeling
- Strong SQL skills, with a preference for experience in MS SQL Server and Google BigQuery.
- Hands-on experience in Python ETL development.
- Familiarity with Python libraries like Pandas, SqlAlchemy, etc.
- Utilization of ETL tools such as Airflow, NiFi, dbt, or similar.
- Familiarity with Google Cloud Platform (GCP) services.
- Knowledge of Data Warehouse methodologies such as Inmon, Kimball, or Data Vault.
- Experience with Continuous Integration/Continuous Deployment (CI/CD) tools like Git, Terraform, etc.
- Proficiency in reporting tools such as Tableau or R Shiny.
- Experience in handling public health data would be advantageous.
- A strong interest in coding and ensuring quality assurance.
- This role is for a long-term contract position.
- The ideal candidate must possess excellent problem-solving abilities and effective communication skills for interactions with both technical and non-technical stakeholders.
- Collaboration with diverse teams and the flexibility to adapt to changing project needs may be required.
- The candidate should exhibit a proactive attitude towards learning and staying updated on technological advancements and industry standards.
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Data Base Programmer/Analyst - Denver, United States - Novalink Solutions LLC
Description
Overview: We are in search of a highly skilled Data Specialist proficient in SQL (preferably MS SQL Server/Google Big Query), Data Warehousing, and developing code for ETL processes using Python.
Primary Responsibilities:
Required Experience:
Desired Experience:
Additional Details: