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We are looking for a Lead Python Engineer to drive Python-based ETL design and delivery on AWS while keeping pipelines reliable and scalable. You will partner with cross-functional teams to shape solution architecture, ensure efficient data integration and transformation, and uphold quality and maintainability standards; apply now.
Responsibilities
- Design, build and support ETL processes end to end
- Collaborate with cross-functional teams to keep data integration and transformation efficient, reliable and scalable
- Define solution design and architecture independently
- Own assigned work items and take accountability for outcomes
- Engage directly with the business to capture requirements with minimized meetings
- Write referenceable, modular code that is easy to reuse
- Monitor data continuously to assure quality and surface issues before they create business impact
- Decide when automation is appropriate and when it is not
- Translate business objectives into clear technical specifications
- Execute daily work in an iterative, agile pattern
- Champion new ideas and take calculated risks
Requirements
- Proven track record with 5+ years of data engineering experience using Python
- Hands-on experience with 2+ years of database work across SQL and NoSQL
- Deep understanding of AWS
- Working knowledge of Git for version control
- Proficiency with TDD development methodologies
- Practical skills with Kubernetes, Docker and CI/CD pipelines
- Solid background working in Agile teams – Scrum or Kanban
- Excellent troubleshooting skills for diagnosing complex issues
- Strong communication skills for aligning technical and business needs
- English proficiency at B2 level (Upper-Intermediate) or higher
Nice to have
- Familiarity with Jenkins
- Knowledge of Health care information Interoperability domains