Freelance Data Engineering Specialist
3 days ago
We are seeking a Freelance Data Engineer with strong expertise in Python and AWS services to design, develop, and optimize data pipelines.
The ideal candidate will have hands-on experience with designing and developing data pipelines using AWS Glue, PySpark, and Step Functions.
- Design and develop scalable data pipelines using AWS Glue, PySpark, and Step Functions.
- Implement ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources.
- Manage and optimize storage solutions with Amazon S3.
- Write reusable and efficient Python code for data engineering workflows.
- Implement unit and integration tests using pytest to ensure data quality and pipeline reliability.
- Collaborate using Git/GitHub for version control, code reviews, and CI/CD integration.
- Create clear technical documentation for pipelines, workflows, and design decisions.
- Troubleshoot and resolve issues related to data pipelines and AWS services.
- 5–10 years of data engineering experience, with at least 5 years in AWS ecosystem.
- Strong coding skills in Python with experience in PySpark.
- Hands-on experience with AWS Glue, Step Functions, and S3.
- Proficiency in pytest for test automation.
- Solid understanding of Git/GitHub workflows.
- Strong communication skills with a focus on documentation and knowledge sharing.
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