| Data Engineer with Python ETL Denver, Colorado Local with DL at Denver, Colorado, USA |
| Email: [email protected] |
| From: Farha khan, Tek Inspirations LLC [email protected] Reply to: [email protected] Job Description Data Engineer with Python ETL Denver, Colorado(Hybrid) Candidate Must Be Local and Local with DL The must candidate to be local- be able to drive in 1 day a week if needed Candidates willing to move to Colorado will not be considered. 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. Required Experience: Data Modeling Proficiency in SQL, ideally with experience in MS SQL Server and Google BigQuery. Hands-on experience in Python ETL coding. o 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. Keywords: continuous integration continuous deployment rlang microsoft Data Engineer with Python ETL Denver, Colorado Local with DL [email protected] |
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| Thu May 23 09:22:00 UTC 2024 |