Snowflake Data Engineer

RAIS USA is seeking two highly experienced Senior Data Engineers to design, build, and scale a modern investments data platform. The ideal candidates will have strong expertise in Snowflake, SQL, Python, and modern ELT frameworks, and will be responsible for developing scalable data pipelines and data models to support financial analytics.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and data platforms
• Build and optimize data solutions using Snowflake
• Develop ELT workflows using modern frameworks such as dbt, Airflow, or similar tools
• Write efficient and complex SQL queries for large-scale financial datasets
• Develop Python-based data processing and automation scripts
• Design and implement robust data models to support investment and financial analytics

Requirements:

• 10–15 years of experience in data engineering
• Strong hands-on experience with Snowflake
• Advanced SQL skills
• Proficiency in Python for data engineering and automation
• Experience with modern ELT frameworks (dbt, Airflow, Matillion, or similar)
• Strong understanding of dimensional modeling and data warehousing concepts
• Experience designing data models for complex financial datasets
• Knowledge of data governance, lineage, and quality controls
• Experience building scalable and maintainable data architectures
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of orchestration and workflow scheduling tools
• Familiarity with DevOps, CI/CD, and infrastructure-as-code
• Experience with market, portfolio, performance, and risk data
• Exposure to data cataloging and metadata management tools