Intern, Data Engineering & ML Pipeline

Sembcorp Industries•Central, LA

41d•Onsite

About The Position

Sembcorp is a leading energyand urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.

Requirements

Background in Data Science & Analytics, Computer Science or equivalent
Strong analytical and problem-solving skills
Familiarity with Azure cloud services
Knowledge of ETL/ELT concepts and modern data processing patterns

Responsibilities

Maintain scalable data pipelines (batch and real-time streaming) using modern data engineering frameworks.
Integrate and process data from diverse sources - including APIs, structured/unstructured datasets, IoT sensors, and streaming platforms.
Collaborate with engineering and data science teams to architect and implement AI-driven data workflows and ML pipeline components.
Work with cloud and Big Data technologies to develop reliable, high-performance data platforms and analytics systems.
Automate data workflows and develop reusable engineering components to improve efficiency, reliability, and scalability.
Apply analytical thinking to design data-driven solutions and support innovation across data & AI initiatives.
Contribute to the development and optimization of production-grade pipelines, ensuring robustness, scalability, and fault-tolerance.
Participate in projects building next-generation Renewable Analytics platforms and AI-assistant-powered data engines.

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