Python ETL Developer/Data Engineer
2 weeks ago
Required Skills:
- Strong programming experience in Python.
- Proficiency in Pandas, NumPy, and working with SQL queries.
- Experience in working with Data Lake and processing large volumes of data.
- Ability to parse and consolidate data from Excel, CSV, and plain text formats.
- Hands-on experience in writing unit tests, performing regression testing, and implementing error/exception handling.
Key Responsibilities:
- Write effective Python code for data extraction, transformation, and loading (ETL).
- Perform data manipulation and analysis using Pandas, NumPy, and SQL.
- Work with structured and unstructured data sources (Excel, CSV, text files) from a Data Lake environment.
- Implement robust error handling and exception handling in Python scripts.
- Develop and maintain unit tests and regression tests to ensure data accuracy and code stability.
- Collaborate with data engineers, analysts, and business teams to gather requirements and deliver data solutions.
- Optimize and refactor existing code for better performance and scalability.
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