We are looking for the Data Engineer for our USA based client - a cloud-based analytics platform designed for commercial real estate. It provides tools for data analysis, portfolio management, financial insights, and lease tracking, helping owners, property managers, and brokers make informed, data-driven decisions.
The platform supports multiple asset classes, including office buildings, industrial properties, multifamily residential assets, and retail spaces. It enables users to efficiently manage operations and make strategic decisions based on reliable, real-time data.
Start: ASAP
Client: USA
English: Fluent
Domain: Healthcare
Duration: Long tern
Working conditions:
The client is in the PST timezone and is available for communication from 5-6pm UA time. Specialist should be available until 7 pm UA time.
Portfolio Analytics: Intuitive tools for asset evaluation, lease management, and financial analysis.
Data Integration: Consolidation of multiple data sources into a single, unified management platform.
Data Visualization: Interactive dashboards and reports that support in-depth analysis and decision-making.
Lease Management: Tracking of rental payments, lease terms, and expiration dates to optimize occupancy.
Data Security: Use of modern technologies to ensure data security and confidentiality.
Position Requirements:
PowerBI skills:
• Able to understand the data sources and relevant data for analysis
• Design and refine data models, familiarity with a dimensional model
• Develop interactive reports and dashboards
• Knowledge of DAX
Azure and DB skills:
• Proficiency in ETL/ELT design, development and support
• Strong hands-on experience in Azure Data Factory
• Experience in Azure Functions
• Stored Procedures writing and optimization
• Telerik .NET Reporting experience (Nice to have)
Responsibilities
Continue improving existing data reporting tools.
List of existing integrations (where data comes from):
- Procore
- DealPath
- Yardi
- MRI
- JDE
- VTS
- OneSite
- CoStar
- Argus
- Salesforce
- RealPage
Nice to have
Basic Python skills