[Remote] Senior Snowflake Data Engineer
Note: The job is a remote job and is open to candidates in USA. 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, focusing 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
Skills
- 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
Company Overview
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