Design, develop and maintain data pipelines using Python and SQL programming language on GCP, encompassing L3 support activities for implemented workloads
Job Summary
Design, develop and maintain data pipelines using Python and SQL programming language on GCP, encompassing L3 support activities for implemented workloads.
Build and deploy AI and RAG pipelines, including agentic workflows and operationalizing AI applications using Vertex AI platform.
Deutsche Bank offers a comprehensive benefits package including best-in-class leave policy, gender-neutral parental leaves, childcare assistance, industry certifications, and hospitalization insurance.
Matching Summary
Design, develop and maintain data pipelines using Python and SQL programming language on GCP, encompassing L3 support activities for implemented workloads.
Skills & Requirements
Must-have
GCP Data pipelines
Python and SQL programming
API development and integration
GCP Composer or Apache airflow
Streaming data pipelines
Docker app development and hosting
Terraform/ Hashicorp
Nice-to-have
Willingness to accept failures
Agile methodologies
Continuous learning culture
Team collaboration using Jira
Prompt engineering
Understanding of LLM (Gemini)
Key Requirements
10+ years of IT experience
Proficient in Python
Proficient in SQL
Hands-on experience on GCP Cloud Composer, Data Flow, Big Query, Cloud Function, Cloud Run, Google ADK
Experience in building and managing AI workloads and REST API hosting
Proficient in Terraform/ Hashicorp
Experienced in GitHub and Git Actions
Experience in CI-CD
Certification on Professional Google Cloud Data engineer