Job Description
Job Responsibilities
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Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning techniques to deliver accurate, context-aware responses grounded in institutional data.
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Assess and continuously improve AI solutions in terms of accuracy, reliability, performance, scalability, and cost-effectiveness, while minimizing hallucinations and unintended outcomes.
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Collaborate closely with data scientists, AI engineers, data quality analysts, and other stakeholders to translate business requirements into effective data systems.
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Design, develop, and maintain robust, scalable ETL/ELT pipelines for integrating and transforming data from multiple sources, and develop secure APIs to serve governed, analytics-ready datasets to downstream analytical platforms, business intelligence solutions, and AI/ML applications.
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Build, manage, and optimize transactional (OLTP) and analytical (OLAP) databases, preferably PostgreSQL and ClickHouse, ensuring performance, security, scalability, and reliability.
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Document data engineering processes, pipelines, and solutions to ensure that all workflows are understood, reproducible, and maintainable.
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Perform data cleaning, validation, and profiling to enforce business rules and ensure data accuracy, consistency, completeness, and integrity.
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Gather, and document business requirements from technical and non-technical stakeholders, translating them into well defined data quality rules and validation checks.
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Develop, implement, and monitor data pipelines that integrate data quality checks, following data engineering best practices to ensure reliable data quality.
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Apply data governance principles, policies, standards, and procedures in implementing the data quality program.
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Assist in developing and documenting data governance policies, standards, and procedures in line with recognized frameworks such as DAMA-DMBOK.
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Implement data catalogue, business glossary, and data lineage mapping for the Bank’s Data Warehouse (EDWH).
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Collaborate with stakeholders across the Bank to ensure adherence to data governance practices.
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Support the Bank’s data governance culture by contributing to existing knowledge-sharing and awareness initiatives and helping develop new ones
Job Requirements
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Master’s degree in computer science, data science, software development, information Technology, or a related field.
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35years
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