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Python Freelance Data Engineer Opportunity
3 weeks ago
We are seeking a highly skilled Freelance Data Engineer to design, develop, and optimize data pipelines using Python and AWS services.
- Design and develop scalable data pipelines leveraging AWS Glue, PySpark, and Step Functions.
- Implement robust ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources.
- Manage and optimize storage solutions with Amazon S3.
- Write efficient and reusable Python code for data engineering workflows.
- Implement unit and integration tests using pytest to ensure data quality and pipeline reliability.
- Collaborate effectively using Git/GitHub for version control, code reviews, and CI/CD integration.
- Create clear technical documentation for pipelines, workflows, and design decisions.
For this role, we require:
- 5–10 years of experience in data engineering, with at least 5 years in the AWS ecosystem.
- Strong coding skills in Python, with expertise in PySpark.
- Hands-on experience with AWS Glue, Step Functions, and S3.
- Proficiency in pytest for test automation.
- Solid understanding of Git/GitHub workflows.
- Excellent communication skills, with a focus on documentation and knowledge sharing.