Hello We're looking for a skilled Python ETL expert to assist us with a data transformation project. Our goal is to extract, transform, and load data from various sources into a structured format for analysis. We need someone with experience in automating ETL pipelines, handling data quality issues, and ensuring seamless integration.
Key Responsibilities: Retrieve data from all sorts of places – databases, APIs, and flat files. Work on raw data, making it clean, consistent, and accurate. Handle missing values, normalize data, and some feature engineering. Load the transformed data where it belongs, ensuring it gets along with our storage solution. Test and validate, ensuring our data stays true to its transformed self. Proven experience in Python development with a focus on ETL processes Strong understanding of data extraction, transformation, and loading best practices. Previous success in automating ETL pipelines for efficient data processing. Excellent problem-solving skills and attention to detail.
Python Expertise: Proven experience in Python development with a focus on ETL processes. A deep understanding of data extraction, transformation, and loading best practices. A track record of successfully automating ETL pipelines for efficient data processing. Excellent problem-solving skills and meticulous attention to detail.
Delivarbles: structured and organized CSV files, each containing accurately transformed, structured data. An automated and efficient ETL pipeline that can be easily maintained. Regular updates on project progress, ensuring we're always on the same page.
If you're a Python ETL expert looking for an engaging project, we'd love to hear from you! Please send a propsal detailing your relevant experience, a brief overview of your approach to ETL projects, and any examples of past work.
