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- Development and implement data engineering strategies and programs.
- Utilize test data sources to optimize data analytics at company 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 company
- 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 help drive engineering decisions.
- Coordinate with different multidisciplinary teams to implement 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.
- It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
- Identify and complete projects associated to data engineering.
- Performs other related duties as required.
- B.
- Current U.
- 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, API's 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
Data Engineer - New York, United States - Smith Hanley Associates
Description
Title:
Data Engineer
Location Tullahoma, TN
Salary:
$120, ,000
Contact:
Paul Chatlos,
Excellent opportunity for a Data Engineer to help in a digital transformation within the aerospace industry
Data Engineer Job Duties:
Data Engineer Basic Qualifications:
Data Engineer Preferred Qualifications