The company needs to design, develop, and maintain data pipelines and architectures to ingest, process, and store various types of data, including aviation and missile system logistical data, maintenance and repair data, and supply chain and logistics data. This is to support data warehousing, business intelligence, data analytics, sustainment operations, and decision-making.
Requirements
- PySpark
- Jupyter
- Scikit-learn
- Vantage or Palantir Foundry
- PyTorch or TensorFlow
- familiar with the use of Code Repositories
- working with data pipelines, developing and implementing data architectures, and in working with relational and NoSQL databases and data lakes
Responsibilities
- Design, develop, and maintain data pipelines to ingest, process, and store data from various sources, including but not limited to: aviation and missile system logistical data, maintenance and repair data, and supply chain and logistics data.
- Develop and implement data architectures to support data warehousing, business intelligence, and data analytics.
- Design and implement data storage solutions, including relational databases, NoSQL databases, and data lakes.
- Collaborate with an existing team to develop and implement data analytics solutions to include: predictive maintenance models, anomaly detection and root cause analysis, and supply chain and logistics optimization.
- Develop and maintain data visualizations and reports to support sustainment operations and decision-making.
Other
