Senior Analyst Data Engineering

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position above to find your next career move.

Senior Analyst Data Engineering

Company Overview:
This company is an American multinational technology leader that specializes in developing, selling, and supporting a broad array of technology products and services, including personal computers, servers, storage solutions, and cloud services. After merging with EMC Corporation in 2016, the company has become a key player in the global technology market. Known for its innovation in IT infrastructure, it serves both consumer and enterprise customers globally.

Job Description:
As a Senior Analyst in Data Engineering, you will be at the forefront of AI-enabled innovation within the PC ecosystem. Your role will involve developing tools and programs to automate data management, working with medium to large structured data sets, and supporting the deployment of AI models for AI PCs. You’ll work closely with AI engineers, ensuring data readiness for AI model training and improving model performance. Additionally, you will manage databases, data pipelines, and monitor data integrity.

Responsibilities:

• Collaborate with AI engineers to support the development and deployment of AI models for AI PCs.
• Transform and prepare data for AI model training and inference.
• Optimize data structures to enhance AI model performance and accuracy.
• Troubleshoot and resolve data-related issues.
• Maintain and manage databases and data pipelines, ensuring data integrity and quality.
• Stay updated on the latest trends and technologies in data engineering and AI.

Qualifications:

Essential Requirements:

• 3+ years of relevant experience in data engineering and programming.
• Solid understanding of machine learning, deep learning, data science, and data engineering.
• Strong programming skills in Python, Java, or C++.
• Knowledge of cloud platforms (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.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.

Disclaimer: SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. Users must click to apply, redirecting to the employer’s career page.
4. No Liability: SpringCube is not liable for inaccuracies.