Core Python Skills

• Proficiency in Python: Strong understanding of Python syntax, data structures, and algorithms.
• Data manipulation: Expertise in using Python libraries like Pandas, NumPy, and SciPy for data manipulation and analysis.
• Machine learning: Knowledge of machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Scripting and automation: Ability to write efficient and maintainable Python scripts for automation tasks.

Data Engineering Skills

• Data pipelines: Experience in designing and building data pipelines to extract, transform, and load data.
• Data warehousing: Understanding of data warehousing concepts and technologies.
• ETL processes: Familiarity with ETL tools and processes.
• Cloud platforms: Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.

Soft Skills

• Problem-solving: Ability to identify and solve complex data-related problems.
• Analytical thinking: Strong analytical skills for data analysis and interpretation.
• Communication: Effective communication skills to collaborate with teams and stakeholders.