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Key skills for this role
Lead the design, implementation, and maintenance of data transportation processes required by Data Scientists.
Perform data transformation operations to support predictive models.
Design and maintain data architectures that ensure reliable pipelines for both structured and unstructured data.
Design scalable data models required for the development of predictive models.
Ensure seamless integration between data pipelines and data models.
Integrate predictive models and AI solutions into applications, systems, and business operations.
Design, develop, deploy, and maintain artificial intelligence agents using Microsoft Copilot Studio.
Integrate AI agents with data pipelines, APIs, and existing systems.
Collaborate with business teams to define use cases, conversational flows, and operating rules for AI agents.
Monitor and ensure data quality (reliability, consistency, and integrity) as well as data flow performance.
Track the performance of data pipelines, AI agents, and infrastructure, and recommend necessary improvements.
Utilize distributed computing technologies for model training and deployment.
Contribute to a variety of projects involving the implementation of innovative systems, solutions, and processes.
Perform other related duties as required.
University degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of industry experience in development, coding, scripting, and data-oriented design.
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Minimum of 5 years of experience in developing and administering large-scale data environments.
Minimum of 3 years of experience in data modeling and SQL/NoSQL database administration.
Hands-on experience developing or integrating AI solutions or intelligent agents is considered a strong asset.
Experience with Flume, NiFi, Kafka, or other data pipeline technologies.
Experience with REST APIs.
Experience with Microsoft Copilot Studio, Power Platform, or similar AI agent platforms.
Experience with C# and .NET.
Experience working in Linux and Windows environments.
Strong understanding of computer science fundamentals, including algorithms and data structures.
Knowledge of data-centric architectures and data flow principles.
Experience with data quality, integrity, cleansing, and transportation processes.
Global developer and publisher of video games and entertainment.
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Senior · 5+ years experience
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