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Job Summary:
Acubed is the Silicon Valley innovation center of Airbus, focused on transforming the aerospace industry through innovation. They are seeking a Data Engineer to manage and optimize data pipelines, particularly for AI/ML applications, and collaborate with cross-functional teams to support computer vision initiatives.
Responsibilities:
• Oversee data lifecycle management, including data versioning, lineage tracking, quality assurance, and reporting.
• Design, build, and optimize robust and scalable data ingestion and labeling pipelines specifically for computer vision datasets.
• Manage and optimize data storage solutions to ensure efficient data retrieval and processing.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines.
• Collaborate closely with AI/ML Engineers and Researchers to understand their data needs and provide efficient data solution.
Qualifications:
Required:
• Bachelor’s in Computer Science, Data Engineering, or a related field, with 2+ years of professional experience as a Data Engineer.
• Strong Python and SQL; Good software development fundamentals a must.
• Demonstrated experience designing, building, and maintaining production-grade data pipelines.
• Proficiency with data modeling, ETL processes, data pipeline operations, and databases (e.g., Postgresql, Clickhouse).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
Preferred:
• Strong skills with data presentation tools, dashboards, and visualization such as Grafana, plotly, Voxel51.
• Workflow orchestration tools, particularly Dagster.
• Experienced with databases like Postgresql, Clickhouse.
• Automation tools and CI/CD pipelines and containerization technologies (e.g. Docker).
• Interest in aviation.
Company:
Acubed is an aerospace center that provides flight services with artificial intelligence technology. Founded in 2015, headquartered in Sunnyvale, California, USA, team size 51-200 employees, currently Growth Stage.
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