Cloud Data Engineer

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blue Cloud

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2015

💼 Consulting

🤝 B2B

🏢 Enterprise

Consulting • B2B • Enterprise

Blue Cloud is an IT services and consulting company with more than 25 years of software experience. It sells, implements and operates enterprise application software in partnership with regional consulting firms, providing analytics, cloud computing, CRM, talent management, process & technology and academic management solutions. Blue Cloud focuses on rapid, simple and secure deployment and ongoing operation of business software for organizational customers.

📋 Description

• Optimize, update and maintain logical and physical data models, source to target mappings to support new and existing projects • Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models • Collaborate with teams to understand specific business needs and develop technology solutions

🎯 Requirements

• Strong Data Modeling background • Experience transforming logical models into physical database designs using best practices to ensure high data quality, reduce redundancy and optimize performance • Snowflake experience analyzing, architecting, designing, and developing cloud data solutions • Strong Python / PySpark & SQL knowledge and hands-on experience • Strong knowledge and hands-on experience with cloud services such as AWS, GCP and Azure • Experience in designing multi-phased cloud data strategies • Experience designing and developing scalable data ingestion frameworks • Deep experience with designing and deploying end-to-end solutions with a cloud platform's analytic services