
11 - 50 employees
🎯 Recruiter
🏢 Enterprise
Recruitment • Enterprise • IT Services
OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients.
🔥 6 minutes ago
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11 - 50 employees
🎯 Recruiter
🏢 Enterprise
Recruitment • Enterprise • IT Services
OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients.
• Develop and implement data models and ETL processes using Snowflake. • Collaborate with investment professionals to understand data requirements and deliver solutions. • Optimize data pipelines for performance and reliability. • Ensure compliance with regulatory and data governance standards in investment management. • Assist in deploying machine learning and AI solutions to production environments.
• 4+ years of experience in software engineering, data engineering, or ML engineering roles. • Hands-on production experience with Snowflake (data modeling, performance tuning, Snowpark, security/role-based access). • Strong programming skills in Python (SQL fluency). • Experience building and deploying machine learning models or AI applications in production environments. • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data architecture patterns. • Experience with version control, CI/CD, and software engineering best practices. • Strong communication skills and ability to work cross-functionally with investment professionals (portfolio managers, analysts, traders) as well as technical stakeholders.
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