Solutions Engineer(Python/Airflow)
Salário Estimado
R$ 7.128,00 - R$ 10.692,00
Excelente
Score da Vaga
Descrição da Vaga
the position EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere.
EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world.
Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies.
EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies.
EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability.
For more information, visit www.enterprisedb.com Candidate Note: This role is 100% remote for candidates based in EST or CST only We are seeking a Solution Developer to join our engineering team.
This is a versatile role requiring a mix of full-stack web development, data pipeline engineering, and cloud infrastructure management.
You will be responsible for designing, building, and maintaining applications that involve both user-facing interfaces and complex back-end automation.
The ideal candidate is a technical generalist who is comfortable working across multiple languages (JavaScript and Python) and is eager to adopt new technologies as our stack evolves.
Your impact will be: Responsibilities • Develop and maintain responsive web applications using Next.js and Node.js.
Benefits • EDB is committed to supporting our employees' overall well being by offering a range of benefits and resources to promote a healthy work-life balance and wellness.
Requisitos
- The ideal candidate is a technical generalist who is comfortable working across multiple languages (JavaScript and Python) and is eager to adopt new technologies as our stack evolves
- Frontend/Backend: 5+ years of experience with JavaScript/Typescript & Node.js; with deep understanding of the Next.js framework; and strong experience with API development & integrations
- Python: Proven experience using Python for application development or data engineering
- Cloud: Working knowledge of AWS core services (e.g., EC2, S3, Lambda, RDS)
- Data Tools: Experience in Pipeline Development, specifically transforming data with dbt and/or workflow tools like n8n along with scheduling tasks with Airflow
- Automation: Experience with workflow automation platforms (e.g., n8n, Zapier, or custom-built solutions)
- Database: Strong SQL skills and experience managing PostgreSQL databases (schema designs; complex queries and optimization)
- Version Control: Proficient in Git version control (branching, PRs, code reviews) and implementing CI/CD workflows to ensure stable, high-quality code delivery
- Adaptability: Ability to switch between different programming languages and technical domains (e.g., moving from a UI task to a data pipeline task)
- Problem-Solving: A track record of identifying technical bottlenecks and implementing efficient solutions
- Continuous Learning: A proactive approach to learning new technologies and staying current with industry trends
Responsabilidades
- This is a versatile role requiring a mix of full-stack web development, data pipeline engineering, and cloud infrastructure management
- You will be responsible for designing, building, and maintaining applications that involve both user-facing interfaces and complex back-end automation
- Develop and maintain responsive web applications using Next.js and Node.js
- Write clean, maintainable code in Python for backend services and data processing scripts
- Build and monitor automated workflows and data pipelines using Airflow and dbt
- Design and implement secure, scalable RESTful APIs
- Manage and deploy applications within an AWS environment, ensuring cloud best practices are followed
- Optimize database performance and manage data migrations in Postgres
- Quickly learn and implement new frameworks or tools based on project-specific requirements
Benefícios
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