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RED TIC searches for one of its clients a profile data architect

Mission :

Must have deep experience with data architectures, and experience working with technologies related to Big Data, artificial intelligence & machine learning. Candidates must have great communication skills and be very technical, with the ability to lead workshops and discussions with customers at any level, from executive to developer. Previous experience with Cloudera is desired but not required, provided you have experience building large scale solutions.
The candidate will possess both technical and customer-facing skills that will allow them to be a « trusted advisor » to customers. He or she will be able to facilitate relationships with senior personnel, as well as easily interact and give guidance to software developers, IT pros, and system architects. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Guide customers to analyze on-premises transactional database environments, evaluate and plan migrations to Cloud/Data Lake Platforms. Architect solutions leveraging Big Data and AI specific services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of these technologies. Thought Leadership – Craft & develop compelling audience-specific messages and tools, as well as Capture and share best practices and insights internally and with partners and customers. Highly technical and analytical, possessing 5 or more years of Relational Database implementation, operations and/or technical sales experience. Very strong Oracle and/or SQL Server experience. In depth experience with Database, administration, performance tuning and troubleshooting on one or more of following: MySQL, PostgreSQL, SQL Server, Oracle Exposure to cloud concepts / best practices Implementation and tuning experience of Databases including knowledge of Schema Design, Query Tuning and Optimization, and Data Migration and Integration. Experience of requirements for the analytics presentation layer including Dashboards, Reporting, and OLAP. Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Strong understanding of machine learning algorithms such as clustering and classification algorithms and especially neural networks (CNN, RNN etc.). Having worked with both structured and unstructured data in the past to gain effective insights. Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. Able to write, tune SQL queries Scripting language (bash, Perl, python) desired Hands-on experience with data manipulation, data analytics and data visualization tools Experience in ETL/ELT workflow management desired Implementation and tuning experience of Databases including knowledge of Schema Design, Query Tuning and Optimization, and Data Migration and Integration

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