iGenius
iGenius is a company specializing in artificial intelligence solutions, providing AI-powered decision intelligence tools for businesses. Their offerings include one of the world's largest AI supercomputers and a range of custom AI solutions designed to enhance data analysis and business growth. iGenius collaborates with renowned companies like NVIDIA and Microsoft to develop AI solutions that meet regulatory requirements for mission-critical use cases, especially in regulated industries. They aim to make data more accessible and empower organizations through advanced AI technologies.
Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence
Data Engineer
November 7, 2024
iGenius
iGenius is a company specializing in artificial intelligence solutions, providing AI-powered decision intelligence tools for businesses. Their offerings include one of the world's largest AI supercomputers and a range of custom AI solutions designed to enhance data analysis and business growth. iGenius collaborates with renowned companies like NVIDIA and Microsoft to develop AI solutions that meet regulatory requirements for mission-critical use cases, especially in regulated industries. They aim to make data more accessible and empower organizations through advanced AI technologies.
Augmented Analytics • Conversational Analytics • NLQ • Artificial Intelligence
📋 Description
• Work somewhere with the creativity of a scaleup and expertise of an enterprise. • We are looking for a savvy Data Engineer to join our growing team of analytics experts in Milan. • You’d be responsible for expanding and optimizing our data and data pipeline architecture, as well as for improving data flow and collection for cross-functional teams. • You’d support our AI Research Engineer, Machine Learning Engineers and Backend Developers on data initiatives, ensuring consistent data delivery architecture throughout ongoing projects. • Should you be successful, you would: • Create and maintain optimal data pipeline architectures • Assemble large, complex data sets that meet functional and business requirements • Identify, design, and implement improvements to internal practices: automating manual processes, optimizing data delivery • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources.
🎯 Requirements
• At least two years’ proven experience in a data engineer role • A degree in Computer Science, Applied Math, Informatics, Information Systems or similar • Experience building processes supporting data transformation, data structure, metadata, dependency and workload management • Advanced working knowledge and experience with relational databases, query authoring as well as working familiarity with a variety of databases, such as SQL and NoSQL • Experience building and optimizing data pipelines, architectures and data sets • Experience with Python or Scala. • Experience with distributed computing. • Hands-on experience with object-oriented design, coding, and testing patterns. • Knowledge of pipeline and workflow management tools (Airflow, Argo Workflows, …) • Experience with CI/CD tools (Jenkins, Travis, Argo CD, Terraform...) • Good understanding of Cloud and data models (data warehouse, data lake) and current engineering practices such as distributed architecture. • Experience with MLOps is a plus. • Experience with HPC is a plus.
🏖️ Benefits
• Learning Fridays. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials • Smart Working. Trains can be a drag, so we let our team members work from home when they can • Salary is based on experience and topped up with other bonuses.
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