Designs and maintains ETL pipelines integrating banking-system data into analytics platforms; builds data models for reporting, analytics, and machine learning. Collaborates with analysts, data scientists, and stakeholders to define requirements and delivers insights across risk, credit, and liabilities. Ensures data quality, security, governance, and compliance while monitoring and troubleshooting workflows and infrastructure performance.
- Design, develop, and maintain robust ETL pipelines to ingest data from various banking systems into analytics platforms. Build and optimize data models for reporting, analytics, and machine learning use cases.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Conduct in-depth data analysis to answer complex business questions, across Risk, credit and liabilities domain, delivering actionable insights for decision-making.
- Ensure data quality, integrity, and security across all data platforms.
- Implement data governance and compliance standards.
- Monitor and troubleshoot data workflows and infrastructure performance.
- Design, develop, and maintain robust ETL pipelines to ingest data from various banking systems into analytics platforms. Build and optimize data models for reporting, analytics, and machine learning use cases.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Conduct in-depth data analysis to answer complex business questions, across Risk, credit and liabilities domain, delivering actionable insights for decision-making.
- Ensure data quality, integrity, and security across all data platforms.
- Implement data governance and compliance standards.
- Monitor and troubleshoot data workflows and infrastructure performance.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Minimum 6 years+ of experience and Min 2 years Experience in the Banking or Financial services domain.
Max Experience: 8 years
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