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Senior Data Engineer

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Genuent

2021-12-04 02:00:03

Job location Houston, Texas, United States

Job type: fulltime

Job industry: HR / Recruitment

Job description

Genuent is hiring a Senior Data Engineer for our direct client in Houston, TX. This would be a direct hire opportunity. If you are a Data Engineer that is interested in working as a Functional Python Developer to deploy/build key components using Machine Learning & AI, please send me your updated resume (word format) to Michael Sabo at .


**Due to client restrictions, we are only accepting those authorized to work in the US without visa sponsorship now or in the future**


Job Description:

We are currently seeking an experienced Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems by unlocking the data asset value and enabling advanced analytics, machine learning, and artificial intelligence. This individual will provide analytical and technical leadership to the team to advance the data engineering practice within the organization.


Responsibilities include:

  • Work directly with Business domain experts and Data Scientists to understand the analytics objective, recommend and develop solutions, and deliver trusted, cleansed, curated data sets in a timely manner
  • Collect, explore, and prepare data for advanced analytics and machine learning
  • Perform exploratory data analysis and present findings for further analysis
  • Architect and implement high quality analytical applications and data products
  • Automate manual data flows for repeated use and scalability
  • Develop data-intensive applications with API's and streaming data pipelines
  • Operationalize statistical and machine learning models
  • Assists data analysts and data scientists with data extraction, feature engineering, query optimization, and data processing
  • Implement data quality checks to ensure data accuracy, consistency, and reliability
  • Identify opportunities for data improvements and presents recommendations to management


 Qualifications


The successful candidate will meet the following qualifications:

  • 5+ years of functional programming experience in Python
  • 2+ years of experience developing SQL-based applications
  • 2+ years of experience in business analysis and requirements gathering
  • 2+ years of experience performing exploratory data analysis using common statistical methods
  • 2+ years of experience working with industrial IOT data and performing time series analysis
  • Experience in software development practices such as Design Principles and Patterns, Testing, CI/CD, and version control
  • Domain experience in Oil & Gas and/or an Engineering discipline such as Chemical, Mechanical, or Industrial Engineering is preferred
  • Ability to travel domestically up to 10% of the time

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