Senior Data Engineer (f/m/x)
Core
Design, implement, and maintain scalable ETL pipelines and data solutions for the Private Bank's data warehousing and analytics on Google Cloud Platform.
Role type
Senior Data Engineer (Cloud/ETL)
Builds
Scalable ETL pipelines, data transformation processes, and cloud-based data solutions for the Private Bank.
Domain
Banking / Data Engineering / Cloud Computing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, ETL pipeline development, Google Cloud Platform (GCP), data modeling, CI/CD, debugging
Preferred skills
Java, data warehousing, Infrastructure as Code (Terraform/Ansible), shell scripting
Technologies
Google Cloud Platform, BigQuery, Dataflow, CloudRun, CloudFunction, PubSub, GCS, Cloud Composer, Airflow, Git, Jenkins, Pytest
Responsibilities
Design and implement scalable ETL pipelines (batch and near real-time), write clean and maintainable Python code, optimize data transformation processes, utilize GCP services to build data solutions, troubleshoot complex issues in data pipelines, participate in code reviews and CI/CD practices
Seniority
Senior, hands-on IC
