Sr Data Engineer

5 days ago

Scottsdale, AZ, United States Ccube Inc Full time
Job Title: Sr Data Engineer – Asset/Wealth Management
Location: Scottsdale, AZ (Onsite/Hybrid 3 days a week)
FT/W2 Preferred
 
Exp Level- 9-12 years

About the Role
We are seeking a Data Engineer with strong knowledge of Asset Management data and hands-on experience in ETL and data transformation. The ideal candidate will have a solid understanding of how data flows across asset management systems, including performance data, and will be comfortable working with transformation tools and programming languages such as Python, SQL, or C#.
 
Key Responsibilities
  • Design, develop, and maintain robust ETL pipelines for Asset Management data.
  • Work closely with business and data teams to understand data sources, flows, and transformations related to performance and investment data.
  • Implement efficient data transformation processes using both traditional and AI-assisted tools.
  • Ensure data accuracy, consistency, and reliability across systems and workflows.
  • Optimize data processing and storage solutions for scalability and performance.
  • Collaborate with cross-functional teams to define and document data architecture and integration requirements.
Required Skills & Qualifications
  • Strong understanding of Asset Management data (e.g., holdings, transactions, benchmarks, performance, attribution, etc.).
  • Proven experience in ETL development, with a focus on data transformation.
  • Familiarity with data transformation and integration tools, including exposure to AI-based automation tools (preferred).
  • Proficiency in one or more of the following languages: Python, SQL, or C#.
  • Experience with relational databases and data modeling concepts.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and communicate effectively with both technical and non-technical stakeholders.
Preferred Qualifications
  • Prior experience in Financial Services or Asset Management domain.
  • Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Familiarity with data governance and metadata management best practice

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