- Design, develop, and maintain scalable ETL processes to ensure smooth data integration and transformation.
- Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions.
- Optimize existing workflows for performance, reliability, and scalability.
- Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity.
- Write clean, well-documented Python code adhering to industry standards and best practices.
- Champion data quality and implement validation mechanisms throughout data processes.
Position: Data Engineer
Type: Contract
Compensation: $30 - $90/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Design, develop, and maintain scalable ETL processes to ensure smooth data integration and transformation.
- Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions.
- Optimize existing workflows for performance, reliability, and scalability.
- Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity.
- Write clean, well-documented Python code adhering to industry standards and best practices.
- Champion data quality and implement validation mechanisms throughout data processes.
Requirements
- Have expert-level proficiency in Python programming.
- Have extensive hands-on experience building and maintaining ETL pipelines and data workflows.
- Have a proven ability to work independently in a fully remote environment.
- Possess exceptional written and verbal communication skills, with a strong focus on clarity and collaboration.
- Have a strong analytical and problem-solving mindset with acute attention to detail.
- Demonstrate expertise in debugging and optimizing large-scale data systems.
