Lead Data Engineer - Python & AWS - Remote

Overview

We are looking for a seasoned Lead Data Engineer Python & AWS to spearhead our data engineering initiatives and guide a growing team.

In Short

• Lead end-to-end data engineering projects from requirement gathering to deployment and maintenance.
• Architect and implement scalable data pipelines and ETL processes using Python and AWS.
• Mentor and collaborate with a remote agile team to deliver robust, production-grade solutions.
• Conduct peer code reviews and provide constructive feedback.
• Propose and implement architectural enhancements and best practices.
• Integrate third-party APIs and implement event-driven data workflows using AWS services.
• Ensure high quality through rigorous testing, monitoring, and documentation.
• Collaborate closely with stakeholders and cross-functional teams to deliver business-driven solutions.

Requirements

• Minimum 5 years of industry experience with a strong focus on data engineering or backend development.
• Advanced proficiency in Python and related libraries such as Pandas and NumPy.
• Experience with data processing, ETL, data scraping, and API integration.
• Hands-on experience with AWS services (Lambda, EC2, S3, and AWS data tools).
• Solid knowledge of SQL and NoSQL database design and optimization.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with containerization tools like Docker.
• Understanding of multi-tenancy architectures.
• Skilled in using Git and version control best practices.
• Strong communication and leadership skills in a remote, agile environment.

Benefits

• Competitive compensation pegged to USD.
• Medical insurance coverage.
• Support for higher education and professional certifications.
• Rapid career growth in a dynamic and empowering culture.