Senior Cloud Data Engineer
Launch Potato
About the role
Drive impactful data engineering projects as a Senior Cloud Data Engineer with a remote-first team. Leverage deep AWS expertise and collaborative skills to enhance business intelligence and analytics.
This role requires 5+ years of experience in data engineering, particularly within cloud-native environments. You will build and optimize ETL processes, manage scalable data lakes, and provide actionable insights to cross-functional teams. Your contributions will ensure that data-driven strategies support product and marketing objectives.
Key Responsibilities:
- Build efficient and scalable ETL and data lake processes
- Ingest, model, and transform structured and unstructured data
- Collaborate with BI and Analytics for clean data delivery
- Maintain database monitoring and quality assurance workflows
- Mentor peers and contribute to a high-performance culture
Requirements:
- 5+ years of data engineering experience in AWS
- Proficient in Python, SQL, Docker, and AWS tools
- Experience with distributed systems and Spark
- Strong collaboration skills across teams
- Quality-focused engineering mindset
Make an impact by leading data projects that drive strategic growth and enhance decision-making across the organization.
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free