Rtoc Engineer
Houston, TX, United States
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Weatherford
Job PurposeĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā
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
OPERATIONSĀ
- 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
COMMUNICATIONĀ
- 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 stakeholdersĀ
Experience & Education
REQUIREDĀ
- Bachelorās degree in an Engineering or Scientific discipline or equivalent experience
- Minimum 10+ years related experience
- Minimum 5+ yearsā experience specifically towards MPD applications
- Minimum 5+ yearsā experience assisting in the development of condition base monitoring capability or systems
PREFERRED
- Masterās degree (MBA)
Knowledge, Skills & Abilities
REQUIREDĀ
- 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
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Travel Requirement:
This role may require domestic and potentially international travel of up to:Ā <10%
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Architecture AWS Azure Big Data Cassandra Databricks Data governance Data management Data pipelines Data quality Data Warehousing Engineering Excel GCP ggplot2 Hadoop Jupyter Keras Machine Learning Matlab Matplotlib NLP NoSQL NumPy Pandas Pipelines Plotly Power BI Python PyTorch R Scikit-learn Security Spark Streaming Tableau TensorFlow Theano
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