Data Engineer - OCI, Python, ETL, Data Pipelines, Data Engineering - Data Engineer This company works at the forefront of developing and applying advanced technology to address some of humanity's most critical and persistent challenges.
With guidance from distinguished scientists and entrepreneurs, it drives innovation by enhancing scientific and technological progress across key areas: health and medical science, food security and sustainable agriculture, climate change and clean energy, as well as advancements in government and artificial intelligence.
The Data Engineer will play an essential role in the design and implementation of data platforms that support advanced AI development.
This role involves building scalable data infrastructure and managing pipelines critical for powering AI models and products.
The Data Engineer collaborates with teams across scientific, research, and business disciplines, bringing strong technical expertise to scale data processing systems for high-performance applications.
Key Responsibilities Design and implement components of scalable data pipelines and infrastructure Lead the creation of data processing systems using cloud technologies Optimize data storage and retrieval for robust AI applications Collaborate with AI and ML teams to facilitate model development and deployment Integrate new technologies to enhance data capabilities Partner with a range of teams including science, research, product development, and operations Requirements Extensive experience in large-scale data engineering Proficiency with data management tools, ETL frameworks, database engines, and storage solutions Proven experience in building secure and scalable cloud-based platforms/products Experience collaborating with research and product development teams Strong software engineering skills with a focus on software design and architecture Expertise in writing production-level code in mainstream programming languages such as Python Familiarity with data modeling, ETL processes, and data warehousing Knowledge of ML/AI workflows and data requirements What They Offer Be part of impactful, long-term programs aimed at societal betterment.
A unique chance to help build and lead the AI Capability team from the start.
Work in a dynamic environment alongside experts in AI and technology.
Thrive in a setting that values creativity, innovation, and respect.
Access state-of-the-art resources to drive rapid, ethical AI development.
A hybrid policy balancing office collaboration and remote flexibility.
Compensation that reflects expertise and contributions.
Data Engineer - OCI, Python, ETL, Data Pipelines, Data Engineering - Data Engineer