To provide insights needed to drive performance across a broad range of strategic activities at Northrop Grumman Aeronautics Systems
Requirements
- Experience with integration of data from multiple sources
- Experience in optimizing SQL queries and performance tuning data pipelines
- Experience using Python packages for data transformation: pandas, numpy, sqlalchemy
- Experience with AI/ML Python libraries such as TensorFlow or PyTorch
- Experience developing and presenting data visualizations for scientific analysis
- ETL techniques and frameworks experience
- Experience with Agile Software Development
- Experience with AI/ML Python libraries such as TensorFlow or PyTorch
- Experience with data platform (e.g., Palantir, Databricks, Denodo, etc.) technologies
- Experience with NoSQL Databases (e.g., MongoDB, Neo4J, etc.)
Responsibilities
- Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL
- Design, develop, and maintain automated data visualizations in Tableau
- Data preparation/cleaning, integration, and automation from heterogeneous sources
- Ensure data integrity and system availability
- Apply data engineering processes and procedures to manage infrastructure, storage, and transformation of data to enable scalable and performant analytics
- Drive the adoption and integration of AI/ML into the development pipelines
- Decomposition of user requirements into logical functions/components
Other
- Relocation assistance may be available
- Clearance Type: Secret
- Travel: Yes, 10% of the Time
- Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field with at least 2 years of related experience
- Top Secret clearance
- CompTIA Security+ Certification or Equivalent 8570 Certification
