
Freelance Cloud Architect – Data Pipelines Specialist
1 week ago
Job Description:
">As a Freelance Data Engineer with expertise in Python, you will play a pivotal role in designing and developing data pipelines using AWS services. Your primary objective will be to create efficient and scalable data workflows that cater to the evolving needs of our organization.
">Key Responsibilities:
">- Develop robust data pipelines utilizing AWS Glue, PySpark, and Step Functions.
- Design and implement ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources.
- Optimize storage solutions with Amazon S3 to ensure seamless data management.
- Write reusable and scalable Python code for data engineering workflows.
- Implement unit and integration tests using pytest to guarantee 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.
- Troubleshoot and resolve issues related to data pipelines and AWS services.
Required Skills and Qualifications:
">- 5–10 years of experience in data engineering with a minimum of 5 years in the 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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