Wind Modeling and Data Engineer
hace 6 meses
**Key Responsibilities**:
- Develop and maintain primarily Python-based data pipelines and workflows for processing and analyzing large volumes of wind simulation and measurement data on the AWS cloud, handling terabytes of data.
- Utilize scientific packages such as NumPy, Pandas, Xarray, and Dask to manipulate and analyze wind simulation data efficiently.
- Design and implement scalable data processing solutions on AWS cloud infrastructure, ensuring high performance and reliability.
- Collaborate with cross-functional teams to develop and validate modeling methods and techniques for turbine and wind farm modeling.
- Create proof of concept solutions using simple notebooks for initial experimentation and testing.
- Transition successful prototypes into production-ready code, focusing on writing clean, robust, and scalable software.
- Research and implement advanced modeling techniques, including data-driven models modeling, to improve the accuracy of wind characterization toolchains.
- Communicate effectively with team members to understand project requirements and deliverables.
**Required Qualifications**:
- Degree in Engineering, Sciences, or field related to wind energy, post-graduate degrees are a plus.
- Experience (4+ years) in Python development, with a focus on scientific computing and data analysis.
- Proficiency in scientific Python libraries such as NumPy, Pandas, Xarray.
- Proven track record of developing clean, robust, and production-ready code.
- Strong communication skills and ability to work on complex tasks.
Preferred Qualifications:
- Strong understanding of cloud computing concepts, particularly AWS services such as EC2, S3, and EKS.
- Familiar with Apache Airflow.
- Knowledge of advanced simulation tools, FEM, CFD etc.
- Familiarity with machine learning techniques for data analysis and prediction.
- Knowledge of wind energy simulation techniques, such as engineering wake models and site energy assessments.
**Additional Information**:
**Relocation Assistance Provided**:Yes
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