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Chief Data Pipeline Architect
3 weeks ago
Job Opportunity
We are seeking an experienced Freelance Data Engineer to design, develop, and optimize data pipelines.
About Our Work
Data engineering is a crucial aspect of our business operations, and we require a skilled professional to oversee data management, processing, and storage.
Main 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.
- Manage and optimize storage solutions with Amazon S3.
- Create reusable and scalable Python code for data engineering workflows.
- Implement unit and integration tests using pytest to ensure data quality and pipeline reliability.
- Collaborate on Git/GitHub for version control, code reviews, and CI/CD integration.
- Maintain clear technical documentation for pipelines, workflows, and design decisions.
- Troubleshoot and resolve issues related to data pipelines and AWS services.
Requirements
- 5–10 years of data engineering experience, preferably 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.
- Effective communication and documentation skills.
Why Join Us?
This role offers the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the success of our organization.