Position Details
About this role
This role involves designing and implementing data pipelines and architectures to support strategic insights and decision-making within a major bank, emphasizing data quality and governance.
Key Responsibilities
- Build data pipelines
- Improve data quality
- Define data standards
- Collaborate with stakeholders
- Deliver strategic insights
Technical Overview
The technical environment includes SQL, Python, and Power BI, with a focus on data engineering, analytics, and data governance in a hybrid work setting.
Ideal Candidate
The ideal candidate is a senior data analyst or engineer with at least 4 years of experience in building data pipelines, managing data architecture, and delivering insights for strategic decision-making in a banking environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL or Python, No experience with data pipelines or architecture, No banking or financial services background, Unwilling to work in hybrid mode in McLean, VA
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