ASI is partnering with leading players in banking, insurance, and finance on data and AI transformation programs. You will work on high-stakes environments including Data Cloud platforms, Big Data processing, event-driven architectures, data quality, financial risk calculations, and the industrialization of Data products. We are seeking senior to expert consultants who combine technical depth with business understanding and a consultative mindset.
ASI is partnering with leading players in banking, insurance, and finance on data and AI transformation programs. You will work on high-stakes environments including Data Cloud platforms, Big Data processing, event-driven architectures, data quality, financial risk calculations, and the industrialization of Data products. We are seeking senior to expert consultants who combine technical depth with business understanding and a consultative mindset.
Depending on your background, you will contribute primarily to one of two domains: Data Engineering and Cloud platforms; or Data Analysis for Risks and Finance. You will join multidisciplinary teams consisting of Data Engineers, Data Analysts, architects, Product Owners, Cloud teams, DevOps, and business representatives.
Data Engineering and Cloud Platforms responsibilities: - Design, develop, and industrialize batch and real-time data pipelines - Maintain data platforms on AWS - Develop and optimize Big Data processing with Spark, PySpark, and Spark SQL - Design event-driven architectures based on Kafka - Manage producers, consumers, topics, and partitions - Improve robustness, resilience, performance, and scalability of processing - Strengthen interoperability between platform components - Implement monitoring, alerting, and logging mechanisms - Contribute to deployment automation and CI/CD practices - Document architectures, data flows, and operating procedures
Data Analysis for Risks and Finance responsibilities: - Analyze needs of Risk and Finance functions - Identify, qualify, and cross-reference data sources - Formalize
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Depending on your background, you will contribute primarily to one of two domains: Data Engineering and Cloud platforms; or Data Analysis for Risks and Finance. You will join multidisciplinary teams consisting of Data Engineers, Data Analysts, architects, Product Owners, Cloud teams, DevOps, and business representatives.
Data Engineering and Cloud Platforms responsibilities: - Design, develop, and industrialize batch and real-time data pipelines - Maintain data platforms on AWS - Develop and optimize Big Data processing with Spark, PySpark, and Spark SQL - Design event-driven architectures based on Kafka - Manage producers, consumers, topics, and partitions - Improve robustness, resilience, performance, and scalability of processing - Strengthen interoperability between platform components - Implement monitoring, alerting, and logging mechanisms - Contribute to deployment automation and CI/CD practices - Document architectures, data flows, and operating procedures
Data Analysis for Risks and Finance responsibilities: - Analyze needs of Risk and Finance functions - Identify, qualify, and cross-reference data sources - Formalize
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Based on: Data Engineer / Data Analyst
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