Data Engineer

Responsiblties:

• Design, development, sustainment, and deployment of complex Government data engineering solutions.
• Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
• Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Utilize machine learning tools to select features, create, and optimize classifiers.
• Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
• Perform development lifecycle aspects that includes requirements documentation, design documentation, configuration management, testing, implementation plans, etc.
• Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
• Coordinate with different multidisciplinary teams to imlement models and monitor outcomes.
• Define & develop processes and tools to monitor and analyze model performance and data accuracy.
• Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.

Key Skills:

• Machine learning.
• Programming.
• Data warehouse.
• Computing.
• Databases.
• Data pipelines.
• Scripting..
• SQL