Data Analyst w Python ETL

Denver, United States | Posted on 05/23/2024

Job Location: Available to work Hybrid, Denver, CO.

Note: Need local to CO, 1 day in a week onsite if needed.

Job Description:

Client 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.
• 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.
• Flexibility in working hours may be required to accommodate different time zones or project deadlines.

Requirements

Skills

• 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.
• 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.