Job description
Job details
- Location: Deutschland
- Work mode: Onsite
- Employment type: Full-time (Not an internship)
- Salary: Salary details are available in the employer description.
Role overview
Description Key Responsibilities Build, deploy, and manage data pipelines using Python and PySpark Develop and optimize ETL/ELT processes to support data integration across systems Work directly with GCP and AWS services to implement scalable cloud-based data solutions Own data workflows end-to-end - from ingestion to transformation to storage Continuously monitor and improve pipeline reliability, speed, and data quality Use GenAI and automation tools to speed up development and reduce manual e…
Responsibilities
- Carry out the core duties described in the original job listing.
- Work with the hiring team as outlined in the source posting.
Requirements
- See the original listing (linked via Apply) for full requirements.
- Meet the qualifications the employer specifies for this role.
Benefits
- Benefits as specified by the employer — see the original listing for details.
Keywords
SeniorDataEngineer