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Experienced Freelance Data Engineering Specialist
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At ThreatXIntel, we require a seasoned Freelance Data Engineer to develop and optimize data pipelines utilizing strong expertise in Python and AWS services. The role involves designing, building, and maintaining scalable data engineering workflows.
About the PositionThis is an exceptional opportunity for an experienced professional with extensive knowledge of AWS Glue, PySpark, and Step Functions to drive innovation in our team.
Key Responsibilities:- Design and implement efficient data pipelines using AWS Glue and PySpark.
- Develop ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources.
- Optimize storage solutions using Amazon S3.
- Write high-quality, reusable 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 detailed 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 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.
