ETL Data Engineering Practitioner with AWS
NewBe an early applicantAbout the project
We are looking for an experienced Data Engineer to join an international project focused on designing and developing scalable data engineering solutions and cloud-based data platforms.
You will work on complex data processing and integration solutions, with a strong focus on AWS, ETL/ELT, distributed data processing, databases and data architecture. The role combines hands-on engineering with technical ownership, architecture and mentoring responsibilities.
Technology stack
The project focuses primarily on:
- AWS
- Python / SQL
- Apache Spark / PySpark
- ETL / ELT
- Big Data & distributed data processing
- Data Warehouses / Data Lakes
- Relational Databases
- Cloud-based data platforms
- Data orchestration and workflow automation
- 5+ years of professional experience in Data Engineering.
- Strong hands-on experience with AWS and cloud-based data platforms.
- Excellent knowledge of Python and SQL.
- Solid experience with ETL/ELT processes and data integration.
- Experience with Big Data technologies and distributed systems.
- Experience designing scalable Data Warehouses and/or Data Lakes.
- Strong database knowledge and experience with database performance optimization.
- Experience designing and implementing complex data engineering solutions.
- Understanding of data architecture, scalability, resilience and security.
- Ability to troubleshoot complex technical and performance-related issues.
- Experience taking technical ownership and influencing architectural decisions.
- Good communication skills and the ability to collaborate with both technical and business stakeholders.
- Experience mentoring other engineers or acting as a technical lead will be an advantage.
- Experience with Scrum Master responsibilities is a plus.