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Job Description
- Design and develop robust databases for storing and processing large volumes of financial and transactional data.
- Implement and maintain scalable data pipelines and ETL processes to ensure efficient data flow.
- Collaborate with cross-functional teams, including subject matter experts, to define data requirements and integrate analytics into user-facing products.
- Evaluate and adopt emerging technologies to improve data reliability, efficiency, and quality.
- Present analytical insights and findings to stakeholders through visualizations, summary statistics, and comprehensive reports.
- Work on deploying machine learning models in production environments to address real-world business challenges.
Education + Experience
- Crafting workflows for the financial industry
- Deploying AI models in production environments
- Working collaboratively within a structured reporting hierarchy
Required keyskills
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Database Design and Management ,Python/R Programming ,SQL and NoSQL Databases ,Data Pipelines and ETL Processes ,Machine Learning Frameworks (TensorFlow ,Cloud Services (AWS
