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An innovative firm is seeking a seasoned Data Architect to lead transformative data solutions. This role focuses on designing and architecting comprehensive Data Warehouse and Data Lake solutions, integrating advanced AI/ML features for large-scale data platforms. The ideal candidate will have extensive experience with Cloudera and Talend technologies, alongside a strong understanding of financial risk management and fraud detection. If you are passionate about leveraging data for impactful insights and thrive in a dynamic environment, this opportunity is perfect for you.
1. Should have led solution design for at least 3 large data transformation programs containing Cloudera and Talend technology stack.
2. Should have at least 10 years of working experience in designing and architecting a Data Warehouse, Data Lake, or Data Lakehouse solution, including end-to-end data flow from source to reporting layer, with AI/ML features for large data platforms.
3. Should have at least 5 years of experience in data ingestion of structured and unstructured data and integration with various source systems, including SAP systems as data sources.
4. Should have sound knowledge of the finance domain.
5. Should have hands-on experience with any version of Cloudera and up-to-date knowledge of Cloudera's features and offerings.
6. Should have experience working with various Cloudera database offerings such as HBase, Hive, Impala, Kudu, Hudi, etc.
7. Should have hands-on experience with any version of Talend and up-to-date knowledge of Talend's features and offerings.
8. Should have proficient knowledge of Financial Risk and Fraud management, or similar AI/ML models delivered for risk management and fraud detection.
9. Proficiency in English and Arabic languages is preferred.
10. Should have good knowledge of capabilities and offerings of Qlik Sense and/or Tableau, with a preference for Qlik Sense.
11. Should have good knowledge of GIS products and platforms and their integration with Qlik Sense and/or Tableau, with a preference for Qlik Sense.