Reservoir Engineer

• We are seeking an experienced Reservoir Engineer Contractor to work closely with our reservoir engineering and analyst teams to productionize their analytical code and automate data manipulations and quality checks.
• The ideal candidate will have strong expertise in Python and experience working in Spotfire and Databricks environments.
• This role requires close interaction with engineers to transform existing workflows into scalable, maintainable solutions.

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Key Responsibilities:

• Work with different teams to understand existing analytical workflows and models.
• Refactor and productionize Python code mainly for maintainability. Performance and scalability are secondary for this work.
• Develop and deploy automated solutions in Databricks and integrate with Spotfire dashboards.
• Implement best practices for version control, testing, and documentation.
• Ensure data security and compliance with company standards. ________________________________________

Required Skills:

• Programming: Advanced Python (data manipulation, automation, and object-oriented programming).
• Data Platforms: Databricks (PySpark and SQL data manipulation), Spotfire (data visualization and integration).
• Data Engineering: ETL processes, data pipelines, and cloud-based workflows.
• Version Control: Git/GitHub.
• Testing & Deployment: Unit testing, CI/CD pipelines.
• Reservoir engineering: Knowledge of reservoir engineering workflows and oil & gas industry data.
• Communication: Ability to interpret and refactor code developed by reservoir engineer into robust, production-ready solutions
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Preferred Skills:

• Familiarity with Azure cloud environments.
• Experience with performance tuning and optimization of analytical models. ________________________________________

Prior Experience:

• 5+ years of professional experience in Python development.
• 3+ years working with data platforms such as Databricks and visualization tools like Spotfire.
• Experience collaborating with engineering or scientific teams to productionize existing code.
• Proven track record of building scalable, maintainable solutions in a data-driven environment.