Data Engineer (m/f/d)
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Key skills for this role
About the Role
Halian is seeking a Data Engineer for a role in Abu Dhabi, UAE, focusing on designing and building scalable data infrastructure for autonomous systems. The position involves transforming multimodal sensor data into structured datasets, managing data pipelines, and supporting machine learning workflows.
Key Skills for This Role
Responsibilities
- Design and manage high throughput on vehicle data recording pipelines.
- Design and maintain scalable data lake architecture across S3, FSx/Lustre, and GCS.
- Build dataset pipelines that convert raw sensor data into structured, training ready datasets.
- Implement robust dataset versioning and discovery processes.
- Contribute to defining efficient on disk dataset formats.
- Develop and manage annotation workflows.
Requirements
- 5+ years of experience building production grade data infrastructure, ideally involving large scale multimodal or sensor data
- Strong proficiency in Python, with ability to work with C++ for ROS2 and pipeline related tooling
- Hands on experience with cloud storage and distributed systems (S3, GCS, FSx, Lustre)
- Experience with dataset versioning and ML data tools such as DVC, LakeFS, Deep Lake, FiftyOne
Full Job Posting
Role Overview
- This role focuses on designing and building scalable data infrastructure to support advanced autonomous systems.
- The position is responsible for transforming large scale multimodal sensor data into high quality, structured datasets.
- The environment handles hundreds of terabytes of data from LiDAR, cameras, IMU, GPS, and radar.
Key Responsibilities
- On vehicle data recording pipeline: Design and manage high throughput recording systems.
- Data lake architecture: Design and maintain scalable storage solutions across S3, FSx/Lustre, and GCS.
- Dataset pipeline development: Build pipelines that convert raw sensor data into structured, training ready datasets.
- Versioning and dataset management: Implement robust dataset versioning and discovery processes.
- Dataset format design: Contribute to defining efficient on disk dataset formats.
- Annotation workflows: Develop and manage annotation pipelines.
Required Experience
- 5+ years of experience building production grade data infrastructure, ideally involving large scale multimodal or sensor data.
- Strong proficiency in Python, with ability to work with C++ for ROS2 and pipeline related tooling.
- Hands on experience with cloud storage and distributed systems (S3, GCS, FSx, Lustre).
- Experience with dataset versioning and ML data tools such as DVC, LakeFS, Deep Lake, FiftyOne.
Preferred Qualifications
- Background in autonomous systems or mobile platforms.
- Experience working with large scale annotation workflows and external labeling providers.
- Familiarity with distributed training approaches (e.g., DDP, FSDP).
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