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Design and implement robust, scalable data pipelines for structured and unstructured data.
Oversee ETL/ELT processes to ingest data from core banking systems, CRM, and external sources.
Ensure data models support real-time analytics, reporting, and machine learning.
Collaborate with data scientists and analysts to provide usable, cleaned and aggregated data to end users Ensure data practices comply with banking regulations (e.g., Basel III, GDPR, local laws).
Implement data governance frameworks, ...
About the Role
Summary:
Design, build, and maintain scalable data infrastructure and pipelines that support banking operations, analytics, and regulatory compliance. This role bridges technical leadership with strategic business needs, ensuring data is accurate, secure, and accessible.
Key Responsibilities:
Data Architecture & Pipeline Development
Governance, Security & Compliance
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