| Data Engineer (ETL, Python) with GCPHybrid-only local to CO at Denver, Colorado, USA |
| Email: [email protected] |
|
From: Chinmayee Patro, Msysinc [email protected] Reply to: [email protected] Title: Data Engineer (ETL, Python) with GCPHybrid-only local to CO Location: Denver, CO, United States Length: Long term Restriction: W2 or C2C Send resume to: [email protected] Description: *** Candidate Must Be Local to CO*** *** The candidate must be local and will be in the office 1 day a week. ***Interview : Webcam *** Hybrid *** Job Title: Cloud Solution Analyst 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: Proficiency in Data Analysis ,Data Modeling,+8 years , Proficiency in Cloud solutions (3years ). Knowledge /Experience in Google Cloud Platform (GCP) services Experience with ETL tools such as Airflow, NiFi, dbt, or similar +5years. Familiarity with Data Warehouse methodologies like Inmon, Kimball, or Data Vault + 5years. Proficiency in SQL, ideally with experience in MS SQL Server and Google BigQuery +3years. Hands on experience in Python ETL coding + 3years. Familiarity with Python libraries such as Pandas, SqlAlchemy, etc +3years. Experience with Continuous Integration/Continuous Deployment (CI/CD) tools such as Git, Terraform, etc +3years. Desired Experience: 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: Flexibility in working hours may be required to accommodate different time zones or project deadlines. Keywords: continuous integration continuous deployment rlang wtwo microsoft Colorado Data Engineer (ETL, Python) with GCPHybrid-only local to CO [email protected] |
| [email protected] View All |
| 08:26 PM 13-Dec-24 |