MooVita Pte Ltd is seeking a skilled Data Engineer to join their team. In this role, you will be responsible for designing, developing, and maintaining data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from autonomous vehicles. You will collaborate with technical, project management, and operations teams to design and implement solutions that meet the business needs. Additionally, you will ensure best practices, frameworks, and reusable components are employed in the development process. If you have a bachelor's degree in Computer Science, Engineering, or a related subject, at least 5 years of proven experience in data engineering with a deep understanding of data modeling, proficiency in Python, experience with git, and the ability to work independently, this may be the perfect opportunity for you. Knowledge of C++ and ROS would be advantageous.

In this role you can expect to have the responsibilities:

• Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from autonomous vehicles
• Collaborate with different stakeholders from technical, project management and operation to design and implement solutions that meet business needs
• Ensure best practices, frameworks and reusable components are employed in the development process
• Develop and maintain documentation for data pipelines, systems, and processes

This role comes with the following benefits:

• Cell phone reimbursement
• Dental insurance
• Health insurance
• Parental leave

This role requires you to have:

• Bachelors’s degree in Computer Science, Engineering, or a related subject
• Proven experience of 5+ years in data engineering with deep understanding of data modelling
• Experience managing/implementing ETL processes and data platforms in cloud-based environments (e.g., AWS, Azure, Google Cloud)
• Proficiency in Python
• Experience with git
• Ability to work independently

You would benefit from having:

• C++ and ROS knowledge

Experience with big data is preferred. The work location is in-person from Monday to Friday. Supplemental pay types include performance bonus.