Design and maintain ETL pipelines, collaborate with stakeholders, perform data analysis, ensure data quality, and implement data governance.
- 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
Top Skills
Analytics Platforms
Data Models
ETL
Machine Learning
Reporting
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