Data Engineer
Core
Build, maintain, and optimize large-scale data infrastructure and pipelines to power AI/ML, analytics, and data-driven decision-making across the organization.
Role type
Senior Data Engineer (AI/ML infrastructure)
Builds
Scalable data pipelines, ETL/ELT workflows, data models, and AI-driven data processing frameworks integrating LLMs and deep learning models.
Domain
Industrial technology, AI/ML, Cloud computing
Deliverable
production ML models
Required skills
SQL, Python, Spark, AWS/Azure/GCP, PyTorch, TensorFlow, Git, Docker, Kubernetes, CI/CD
Preferred skills
Master's or PhD in quantitative field, experience with Hadoop, NLP, computer vision, software engineering best practices
Technologies
Spark, Hadoop, AWS, Azure, GCP, PyTorch, TensorFlow, Docker, Kubernetes
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT workflows; Build and optimize robust data models and schemas; Implement automated data cleaning, validation, and quality checks; Automate data flows using SQL, Python, and big data tools; Support architecture and implementation of solutions across hybrid cloud environments; Build reusable libraries and automated pipelines with CI/CD and automated testing; Monitor data infrastructure performance and troubleshoot complex issues.
Seniority
Mid-to-Senior, hands-on IC
