Data Engineer

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.

Company Description:

The Client is the leading hospitality provider, specializing in the management and operation of upscale hotels, high-end residential projects, luxury casinos, renowned restaurants, and other leisure facilities.
 

Project Description:

We are seeking a skilled Data Scientist to develop and deploy machine learning models that optimize operations, enhance customer experience, and generate actionable business insights across the client’s hospitality and leisure portfolio.

 Requirements:

• BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field;
• 3+ years of industry experience delivering and scaling machine learning products both in scope and on time;
• Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices;
• Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server;
• Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients;
• Upper-Intermediate English level.

 Responsibilities:

• Design, develop, and maintain data pipelines;
• Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse;
• Ensure data integrity, scalability, and performance optimization. Analytics & Reporting;
• Develop and optimize complex SQL queries to support analytics and reporting;
• Build and maintain datasets and semantic models for Power BI;
• Design, implement, and modify advanced Power BI visualizations and dashboards;
• Partner with stakeholders to deliver accurate and actionable insights. AI & LLM Development;
• Develop, fine-tune, and maintain large language models for enterprise use cases;
• Integrate LLM solutions with data assets and reporting environments;
• Monitor and retrain models as required to maintain performance;
• Upper-Intermediate English level.

Additional responsibilities:

• Define and lead important initiatives;
• Work closely with the product and engineering teams to improve data accessibility and efficiency of algorithm iteration;
• Design and run statistically sound experiments to further uncover predictors of performance.