Senior Data Platform Engineer

• Build visualization tools and dashboards with help from the product team, data scientists, and roboticists
• Contribute and oversee Data ingestion, model training, and deployment
• Construct solutions that meet the company's data management and versioning requirements.
• Connect the ecosystem by building integrations across multiple existing and new tools
• Execute and enhance data model, queries, and ETLs for complicated text, image, and sensor data
• Create service-level interfaces for our Machine Learning and Big Data Platform

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5-7+ years of relevant experience as a data platform engineer
• Extensive Python skills and experience
• Experience with high dimensional data visualization tools like Plotly, Matplotlib, D3, Apache Superset, and Tableau
• Experience working with interfaces like databases like PostgreSQL, Mongo, Athena, and InfluxDB
• Experience developing microservices and cloud-native applications
• Familiarity with Cloud-based data environment
• Experience with modern data systems such as data lake, data mesh, cloud-based data, and processing
• Experience working with Data pipeline in the cloud
• Experience developing within the Jupyter ecosystem is nice to have
• Prior experience with production ML platform is desirable
• Nice to have some experience with Docker and Kubernetes
• Experience with Kubeflow or Argo is preferred
• Familiarity with ML Frameworks like TensorFlow, PyTorch is desirable
• Prior experience dealing with a large amount of data
• Must be an excellent communicator