Leading technology provider to the traditional and new energies industry, delivering fully integrated projects, products, and services. With a strong commitment to transforming project economics, the Customer empowers clients to tap into new energy resources while making strides in reducing carbon emissions. Their innovative approaches support ambitious energy transition goals, showcasing a dedication to sustainability.
responsibilities :
Write clean and maintainable Python code using PEP guidelines Build and maintain software packages for scientific computing
Build and maintain command line interfaces (CLIs) Build and maintain web applications and dashboards
Design and implement data analysis pipelines
Create and maintain database schemas and queries
Optimise code performance and scalability
Develop and maintain automated tests to validate software
Contribute and adhere to team software development practices, e.g., Agile product management, source code version control, continuous integration/deployment (CI/CD)
Build and maintain machine learning models (appreciated, but not a prerequisite)
requirements-expected :
5+ years of professional experience in Python
Bachelor’s or Master’s in CS, Data Science, or related field
Strong Python and SQL skills; experience with NumPy, Pandas, SciPy
Experience with web apps/dashboards: Streamlit, Dash, Flask
Familiarity with Data visualization: Matplotlib, Seaborn, Plotly
Familiarity with Git, CI/CD (Azure Pipelines, GitHub Actions, Docker)
Experience with writing automated tests with pytest
Experience with building CLIs using Click or Argparse
Experience in database design and query optimization: PostgreSQL, Snowflake, SQLite, HDF5
Knowledge of code performance and scalability tools (Numba, Dask)
