Financial 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, with a focus on handling complex financial datasets.

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