About the role
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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.
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Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
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Conduct in-depth data analysis to answer complex business questions, across Risk, credit and liabilities domain, delivering actionable insights for decision-making.
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Ensure data quality, integrity, and security across all data platforms.
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Implement data governance and compliance standards.
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Monitor and troubleshoot data workflows and infrastructure performance.
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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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