Similar Jobs
See allRole Overview:
- Design and develop automated ETL/ELT pipelines for data ingestion into GCP.
- Implement and maintain Medallion Architecture across Bronze, Silver, and Gold layers.
- Build governed views in BigQuery for data integrity and usability.
Operational Model:
- Operate in a Build & Run model, balancing development with production support.
- Monitor, investigate, and resolve production incidents with urgency.
- Collaborate with software engineering and business teams to translate requirements.
Requirements:
- At least 6 years in Data Engineering with 4 years in GCP production environments.
- Advanced proficiency in SQL and Python for large-scale data processing.
- Strong ability to assess incidents and prioritize based on business impact.
Jobgether
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.