Negotiable
Outside
Remote
USA
Summary: The role of Google Cloud Platform Data Engineer/Architect requires extensive experience in the healthcare domain, specifically with Google Cloud technologies. The position involves providing technical guidance to developers, conducting code reviews, and ensuring compliance with best practices in project delivery. The role is remote and emphasizes strong analytical skills and the ability to design scalable data architectures.
Key Responsibilities:
- To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
- To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards to ensure successful delivery of complex projects.
- To ensure process compliance in the assigned module and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
- To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
Key Skills:
- Google Cloud Platform Data Engineer
- Python
- Terraform
- Apache Airflow, preferably via Cloud Composer
- UDMH, Cerner, EPIC (EHR)
- 12+ years of experience in Data Engineering
- Strong knowledge in writing and interpreting complex SQL queries
- Experience in designing, developing, testing, and maintaining ETL solutions in Google Cloud Platform, especially in BigQuery
- Good analytical knowledge in understanding business needs and translating them to technical requirements
- Experience in UC4 is a plus
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hi,
Health care domain experience is required
Must mention work authorization along with LinkedIn
Job Title: Google Cloud Platform Data Engineer / Architect
Mode: Contract
Locations: - Remote (CST)
Must Have: Google Cloud Platform Data Engineer, Python, terraform, Apache Airflow, preferably via Cloud Composer, UDMH, Cerner, EPIC (EHR)
Require 12 + years of experience Data Engineers Google Cloud Platform Strong knowledge in writing and interpreting complex SQL queries Experience in Google Cloud Platform.
Strong ability to design, develop, test and maintain ETL solution in Google Cloud Platform especially in BigQuery.
Experience in discovering the raw information from different sources to create consistent , scalable architectures that enable data extraction and transformation for data analytics.
Good analytical knowledge in understanding the business needs and translate to technical req.
Experience in UC4 is plus.
Key Responsibilities:
- To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
- To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
- To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
- To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.