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Our client is actively hiring a Python ETL Developer who is passionate about transforming unstructured data into meaningful, actionable information. The ideal candidate has advanced Python expertise, strong analytical skills, proficiency with automation and ETL patterns, and experience working with cloud-based data environments. This role is hands-on and highly collaborative, supporting data ingestion, transformation, automation, and analysis within a dynamic technical environment.
Job Responsibility:
Parse, clean, and transform structured and unstructured datasets
Build Python-based automation to support a data parsing and processing platform
Develop ETL-style scripts and data processing workflows
Improve, maintain, and optimize existing codebases and infrastructure
Manage and oversee recurring data ingestion processes
Design and contribute to new data systems and automation tools
Perform data analysis to support internal stakeholders (e.g., content and marketing teams)
Establish standards, processes, and CI/CD pipelines for code management
Utilize AI-driven methods to assist in automated data parsing
Requirements:
5+ years of professional Python development experience
Experience building automation tools and data solutions in Python
Proficiency with Linux shell scripting
Experience working with both relational and NoSQL databases
Experience with AWS services such as EC2, RDS, SQS, S3, Lambda, API Gateway, etc.