Senior Data Engineer

crossing hurdles • United Kingdom
Remote
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AI Summary

Design, develop, and maintain scalable ETL processes. Collaborate with cross-functional teams to analyze data needs and implement tailored solutions. Write clean, well-documented Python code.

Key Highlights
Scalable ETL process design and development
Data pipeline optimization and troubleshooting
Collaboration with cross-functional teams
Key Responsibilities
Design, develop, and maintain scalable ETL processes
Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions
Optimize existing workflows for performance, reliability, and scalability
Technical Skills Required
Python ETL pipelines Data workflows
Benefits & Perks
$30-$100/hour
Remote work

Job Description


Position: Data Engineer

Type: Contract

Compensation: $30 - $100/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.


Application Process

  • Easy Apply on LinkedIn
  • Check email for next steps
  • Participate in resume evaluation & interview stage

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