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Senior Data Engineer (AV)

inDrive - Dubai, United Arab Emirates - In-office

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inDrive is building the data foundation for autonomous-driving work. You will own the design and operation of multi-sensor data pipelines that ingest, synchronize, and geo-reference data from vehicles equipped with cameras, IMU, LiDAR, and GPS sensors. Your work will transform raw sensor streams into training datasets for autonomous-driving models. Key responsibilities: - Design and build pipelines to move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, with proper synchronization and geo-referencing - Own storage architecture and lifecycle management: partitioning strategies, hot/archival tiers, and cost optimization as data volume scales - Implement validation and monitoring on the ingest path to catch incomplete uploads, missing or unsynchronized streams, and vehicles producing degraded data - Prepare training datasets for autonomous-driving models: select data by location, route, and environmental conditions; version datasets; deliver in formats ML teams require - Initially, take over and enhance existing imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps, and vendors; conflation; validation; publication) - Optimize spatial queries on large PostGIS and GeoParquet tables in BigQuery Requirements: - 4+ years of data engineering experience - Hands-on experience with multi-sensor data from vehicles or robots (cameras, IMU, LiDAR) and keeping streams synchronized - Experience preparing training datasets for computer vision or autonomous-driving models - Proficiency with large volumes of binary/media data in object storage (S3 or GCS) and distributed processing (Spark or equivalent) - Strong spatial data skills: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks - Strong Python and SQL; AWS or GCP; Docker; Kubernetes Nice to have: - Sensor data formats (ROS2 bag, MCAP, point clouds) - Parquet, Delta, or Iceberg; Databricks - Argo Workflows or Airflow - OpenStreetMap and Overture Map knowledge - QGIS - BigQuery

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