Data Center Operations Specialist
1 month ago
We are seeking a highly skilled Data Center Engineering Operation professional to join our team at Stealth. As a key member of our Digital Enterprise group, you will play a critical role in developing and applying statistical and modern analytical methods to improve operations and maintenance of the Arnold Engineering Development Complex (AEDC) air and space ground test equipment and facilities.
Key Responsibilities:- Develop and implement data-engineering strategies and programs to optimize data analytics at AEDC.
- Utilize test data sources to identify opportunities for leveraging data to drive decisions and improve testing sustainment and operational strategies.
- Automate manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Define and develop approaches to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
- Identify and assess the effectiveness of data engineering, data sources, and data gathering techniques.
- Utilize applicable experience in big data, analytics, algorithmic, custom data models, algorithms, and/or machine learning approaches to help extract data that will drive engineering decisions.
- Define and develop processes and tools to monitor and analyze model performance and data accuracy.
- Define and 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.
- S. in Computer Science, Statistics, Mathematics, Engineering, or another relevant engineering field from an accredited university program plus a minimum of 6 to 14 years of progressive and relevant experience.
- Master's or PhD degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or another relevant engineering field from an accredited university program.
- Experience with development lifecycle methodologies such as Agile DevSecOps.
- Experience with data scripting language software like Python, Java, C++, or Ruby and SQL.
- Experience with data extraction tools and processes, data ingestion, ETL, data mining, APIs, and data warehousing.
- Demonstrated experience in a data engineering role.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
- Coding knowledge and experience with multiple languages.
- A competitive salary and benefits package.
- The opportunity to work with a talented team of professionals in a dynamic and fast-paced environment.
- The chance to make a real impact on the success of our organization.
We are an equal opportunities employer and welcome applications from all qualified candidates. Please submit your application, including your resume and a cover letter, to [insert contact information].
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