
Senior Python Data Pipeline Specialist
7 days ago
Freelance Data Engineer – Python
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Data Engineering Expertise Required
ThreatXIntel is a cyber security company that protects businesses and organizations from cyber threats.
We offer customized and affordable solutions tailored to meet the specific needs of our clients, ensuring that businesses of all sizes have access to high-quality cyber security services.
We are seeking an experienced Freelance Data Engineer with strong expertise in Python and AWS services (S3, Glue, Step Functions, PySpark) to design, develop, and optimize data pipelines.
- Design and develop 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 scalable 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.
The ideal candidate will have 5–10 years of data engineering experience, with at least 5 years in the AWS ecosystem.
They will have 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, and strong communication skills with a focus on documentation and knowledge sharing.
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