Senior Analyst Data Engineering
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
What you’ll achieve
As a Senior Analyst, Data Engineering, you will be at the forefront of AI PC innovation in a fast-paced environment where innovative thinking is prized. You will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets. Your role involves supporting AI development and ensuring release readiness while collecting insights into best practices across various AI product portfolios and different sectors. Furthermore, you'll collaborate closely with your team, providing mentorship and guidance in the design and development of AI products.
Join us to do the best work of your career and make a profound social impact as a Senior Analyst, Data Engineering on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center.
You will:
- Collaborate with AI engineers to support the development and deployment of end-to-end AI models for AI PCs.
- Transform and prepare data for AI model training and inference.
- Optimize data structures to enhance the performance and accuracy of AI models. Troubleshoot and resolve data-related issues.
- Maintain and manage databases and data pipelines and ensure data integrity and quality through regular monitoring and maintenance.
- Stay updated with the latest industry trends and technologies in data engineering and AI.
Essential Requirements:
- 3+ years of related experience in data engineering and programming.
- Solid understanding of machine learning, deep learning, data science, and data engineering concepts.
- Strong programming skills in languages like Python, Java, or C++. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud)
- Experience with data pipeline and workflow management tools.
- Familiarity with big data tools (e.g., Hadoop, Spark). Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
Desirable Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Knowledge of AI model optimization and quantization techniques. Familiarity with data preprocessing, feature engineering, and model evaluation.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 31 December 2024
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
What We Do
Technology drives human progress. This tenet is the core of our business and vision. Our customers and team members are integral to our continuing success as we provide the essential infrastructure for organizations to transform their digital futures.