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  • RTOC Engineer

    Weatherford (Houston, TX)



    Apply Now

    Job Purpose

     

    The position of the RTOC Engineer will be responsible for designing, building, and maintaining the infrastructure that supports data generation, storage, and retrieval. This role involves working closely with operations and other stakeholders to ensure that data pipelines are efficient, reliable, and scalable.

     

    The RTOC Engineer will also be tasked with optimizing data flow and collection processes, implementing data governance policies, and ensuring the integrity and security of data throughout its lifecycle.

     

    The ideal candidate will have a strong background in data management, data warehousing, and data integration. You will be responsible for designing, developing, and maintaining data pipelines to support our data-driven decision-making processes.

     

    Roles & Responsibilities

    OPERATIONS

    + Design, develop, and maintain scalable data pipelines and architectures

    + Implement data integration solutions to consolidate data from various sources

    + Optimize data workflows for performance and reliability

    + Collaborate with data scientists and analysts to understand data requirements and deliver solutions

    + Ensure data quality and consistency across all data platforms

    + Monitor and troubleshoot data pipeline issues

    + Stay up to date with the latest industry trends and technologies in data engineering

    + Operate and maintain the MPD Center of Excellence remote operations centre

    + Oversee and support development of satellite sites

    COMMUNICATION

    + Maintains effective communications with all key stakeholders both internal and where appropriate external

    + Supervisors & Managers should clearly communicate expectations, roles, and responsibilities to their reports

    + Clearly communicate analytic solutions, including information such as explanations of models and the quality of models developed, to both internal and external stakeholders

     

    Experience & Education

    REQUIRED

    + Bachelor’s degree in an Engineering or Scientific discipline or equivalent experience

    + Minimum 10+ years related experience

    + Minimum 5+ years’ experience specifically towards MPD applications

    + Minimum 5+ years’ experience assisting in the development of condition base monitoring capability or systems

    PREFERRED

    + Master’s degree (MBA)

     

    Knowledge, Skills & Abilities

    REQUIRED

    + Strong experience applying data science to create ML, AI, and analytics solutions that can be deployed on the cloud, on premise, or at the edge

    + Experience with data science tools such as Databricks, Jupyter Notebooks, Spark, Pandas, NumPy, Matplotlib, ggplot2, Tidyverse, data.table and markdown

    + Good knowledge of Python or R and various ML libraries and packages such as Keras, PyTorch, Theano, TensorFlow and Scikit-learn

    + Good understanding of different data types such as time-series, structured, unstructured, etc.

    + Experience with NoSQL databases such as Cassandra, Mongo, Hadoop, etc.

    PREFERRED

    + Knowledge of tools and platforms provided by various cloud providers such as AWS, Azure, and GCP

    + Knowledge of analytic visualization tools such as Plotly Dash, Tableau, or PowerBI

    + Knowledge of orchestration tools such as Prefect, Luigi, and other cloud vendor solutions

    + Experience with Big Data and streaming data

    + Experience with Natural Language Processing

    + Experience with MATLAB and Excel. JD Specific

    Travel Requirement:

    This role may require domestic and potentially international travel of up to: <10%

     


    Apply Now



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