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- Develop and maintain data pipelines in Databricks following Agile/Scrum methodology
- Write clean, well-documented code that adheres to team and firm standards
- Participate in the on-call rotation to monitor overnight data delivery SLAs, troubleshoot failures, and respond to data quality issues
- Collaborate with architects, engineers, and business stakeholders to understand requirements and deliver solutions
- Contribute to design sessions, code reviews, and continuous improvement initiatives
- Bachelor's degree in Computer Science, Data Engineering, or related field
- 3+ years of experience developing data pipelines in a modern data platform environment
- Strong Python development skills with experience in PySpark and Databricks
- Understanding of medallion architecture and data lakehouse concepts
- Experience with Azure cloud services (Data Lake Storage, Key Vault, Azure DevOps)
- Familiarity with Delta Lake and data quality frameworks
- Experience with modern CI/CD practices and infrastructure as code
- Strong SQL skills and understanding of data modeling principles
- Excellent communication skills with ability to translate technical concepts for business stakeholders
- Financial services industry experience is a plus
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