About Us
Were a worldleading smart mobility SaaS tech company with almostactive users. Our teams are collaborative vibrant and fastgrowing and all team members are empowered with the freedom to influence our products and technology.
Are you curious innovative and passionate
Do you take ownership embrace challenges and love problemsolving
We are looking for a Senior Data Engineer who will help us build robust pipelines and infrastructure to process and analyze audio and video data revolutionizing the way our customers use connected technology.
Your Role
- Design and develop efficient pipelines to ingest audio and video data from various sources such as microphones cameras and cloud storage.
- Implement techniques for cleaning and preprocessing data including noise reduction normalization and video frame extraction.
- Extract meaningful features from audio and video data including acoustic visual and temporal attributes.
- Oversee labeling and annotation of datasets for machine learning models.
- Build and maintain scalable data pipelines using tools like Apache Airflow and Apache Spark.
- Design efficient storage solutions for largescale data including data lakes and object storage.
- Collaborate with machine learning engineers to integrate models into production environments.
- Continuously monitor and optimize data pipelines for performance and scalability.
Your Qualifications
- Minimum 5 years of relevant experience.
- Strong experience in Python and data engineering tools (e.g. Pandas NumPy SQL).
- Handson experience with audio and video processing libraries (e.g. Librosa OpenCV).
- Knowledge of cloud platforms (AWS GCP Azure) and their data services.
- Familiarity with data warehousing and data lake architectures.
- Excellent problemsolving and analytical skills.
- Strong ownership mindset and willingness to learn new technologies.
- Knowledge of machine learning frameworks (e.g. TensorFlow PyTorch) is a plus.