- 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
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Senior Data Engineer - Tullahoma, United States - Smith Hanley Associates
Description
To have a more in-depth discussion of a position, contact the recruiter listed on the job posting. Put our 40+ years of experience to work for youPosted:
01/08/2024
Category:
Data Science
Job Number:
_1
Salary:
$120, ,000
Job Description
Title:
Senior Data Engineer
Location Tullahoma, TN
Salary:
$120, ,000
Contact:
Paul Chatlos,
Senior Data Engineer Job Duties:
Senior Data Engineer Basic Qualifications:
Senior Data Engineer Preferred Qualifications
Principal
Paul Chatlos joined Smith Hanley in 2013.
He is currently the Data Science and Analytics Practice Lead for the East and West Coasts and a Principal of the company.
Prior to joining Smith Hanley, he recruited marketing professionals in the pharmaceutical, medical device and biotechnology industries and also worked in Physician Recruitment.
He prides himself on building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.
He also believes that recruiting is finding the best "match" of candidate and opportunity.He holds a BS in Psychology from James Madison University. Outside of work, Paul enjoys playing golf regularly and is an avid sports fan.
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