Crossing Hurdles is seeking a Data Engineer to design, develop, and maintain scalable ETL processes. The role involves collaborating with cross-functional teams to analyze data needs and optimize workflows for performance and reliability.
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