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Dynamic Data Architect
3 weeks ago
As a Freelance Data Engineer, you will be responsible for designing, developing, and optimizing data pipelines using AWS services like S3, Glue, Step Functions, and PySpark.
You will implement ETL/ELT processes for ingesting, transforming, and delivering data from multiple sources, manage and optimize storage solutions with Amazon S3, and write reusable and scalable Python code for data engineering workflows.
You will also 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, and troubleshoot and resolve issues related to data pipelines and AWS services.
Key Responsibilities:- Design and develop efficient data pipelines utilizing AWS Glue, PySpark, and Step Functions.
- Develop and implement ETL/ELT processes for extracting, transforming, and loading data from various sources.
- Manage and optimize storage infrastructure with Amazon S3.
- Write modular and maintainable Python code for data engineering tasks.
- Implement thorough testing strategies using pytest to guarantee data accuracy and pipeline stability.
- Foster collaboration through Git/GitHub for version control, code review, and continuous integration and delivery.
- Create comprehensive technical documentation for pipelines, workflows, and design choices.
- Troubleshoot and resolve complex issues related to data pipelines and AWS services.