
Optimizing Financial Data Solutions
1 week ago
We are seeking an accomplished Senior Data Engineer to join our organization. As a critical member of our team, you will be responsible for designing and implementing scalable data solutions that power analytics, reporting, and strategic initiatives.
This role requires a deep understanding of ETL development, data modeling, and financial data domains, particularly in credit unions and banking systems.
Candidates should have hands-on expertise with Snowflake, Matillion, and Python as well as experience in designing and implementing data models using the Medallion architecture.
- Key Responsibilities:
- Design, build, and maintain robust ETL pipelines using Snowflake, Matillion, and Python
- Develop and optimize data models to support analytics and reporting across the organization
- Implement and maintain Medallion architecture (Bronze, Silver, Gold layers) for scalable data processing
- Write complex SQL queries for data manipulation and analysis
- Integrate data from core banking systems (e.g., Fiserv) and other financial platforms
- Ensure data quality, governance, and security across all pipelines
- Use Python for data transformation, automation, and orchestration tasks
- Troubleshoot data issues and optimize data pipelines for performance
Requirements:
- 5+ years of experience in data engineering
- Hands-on experience with Snowflake, Matillion, and Python
- Strong understanding of data modeling and ETL development
- Experience with Medallion architecture and data warehousing
- Excellent communication and collaboration skills
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
How to Apply:
If you are a motivated and experienced data engineer looking to take your career to the next level, please submit your application including your resume and cover letter.
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