Data Engineer

National Oilwell Varco Inc Houston , TX 77020

Posted 1 week ago

Responsibilities include, but are not limited to the following:

  • Implement best practices for data engineering

  • Develop processes and documentation

  • Extract and prepare data for analysis

  • Develop and revise model code

  • Understand data path from source to destination

  • Troubleshoot connectivity and data integrity issues

  • Prepare and manage infrastructure (servers, databases etc.) for data storage

  • Coordinate with NOV software engineers, product engineers, data scientists and other data users to define and configure DataVault tag lists

  • Prepare reliability-centered equipment maintenance templates, including tag lists and analytical models, for deployment to rigs

  • Coordinate efforts with field engineers and NOV cross-functional teams to ensure that rigs have the proper hardware, software, and network to collect data

  • Develop code for automating data processing pipelines

  • Perform other work-related tasks as required

#ZR

A minimum education of Bachelor's in Computer Science, Engineering, or related field is required.

A minimum of 2 years of experience specifically in Data Engineering is preferred.

Entry-level candidates with internships in Data Engineering are encouraged to apply.

Experience with programming language is highly preferred (ex: Python, R, Batch Scripting, Java, STEP7)

Experience with data processing is required (ex: Hadoop, Cassandra, Spark)

Excellent written and verbal communication skills

Experience in the following areas preferred:

o Reading control systems documentation

o Data acquisition

o Data integrity

o Data management: OSIsoft PI System (strongly preferred), Microsoft SQL, MongoDB

o Revision management: Git, Stash

o Data science platform: Domino

o Data visualization: Grafana, TIBCO Spotfire, Microsoft Power BI

o Server network installation, configuration, and troubleshooting

Drilling data analysis experience preferred

Candidates must be highly self-motivated and work well as part of a fast-paced, collaborative team


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