Google Cloud Platform Python Lead Data Platform Engineer
Empower Professionals
Phoenix, United States of America
7 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Phoenix, United States of America
Tech stack
Airflow
Bash
Google BigQuery
Cloud Computing
Cloud Engineering
Cloud Storage
Information Engineering
Data Warehousing
Data Flow Control
Identity and Access Management
Python
Cloud Services
Standard Sql
Cloudera
Shell Script
Data Logging
Google Cloud Platform
Cloud Platform System
Amazon Web Services (AWS)
Build Management
Data Lake
Infrastructure Automation Frameworks
Data Management
Cloud Optimization
Terraform
Artificial Intelligence Markup Language (AIML)
Data Pipelines
Job description
- We are seeking a highly skilled Google Cloud Platform Platform Engineer with strong Python development and Data Engineering expertise to design build automate and support cloudnative data platforms on Google Cloud Platform Google Cloud Platform, Cloud Data Platform Engineering
- Design implement and maintain scalable cloud infrastructure on Google Cloud Platform Google Cloud Platform
- Develop Infrastructure as Code IaC solutions using Terraform
- Automate cloud provisioning deployment and monitoring processes
- Implement security governance networking and IAM best practices
- Support DR Design and build batch and realtime data pipelines
- Build and optimize data lakes and data warehouses
- Ensure data quality lineage governance and observability
- Develop Pythonbased POC solutions for new requests
- Troubleshoot tenant issues and perform root cause analysis
- Support platform upgrades and cloud modernization initiatives
- Collaborate with analytics AIML network internal products and business teams to support data consumption
Required Technical Skills:
- Cloud Storage Big Query Cloud Composer Airflow Cloud Functions Gen2 Cloud Run PubSub Dataflow Dataproc Cloud SQL IAM VPC Networking Cloud Monitoring Logging
- Python Programming advanced
- SQL advanced
- Shell scripting Bash
- ETLELT design and implementation
- Data Engineering Data warehousing concepts Experience with data mesh or Lakehouse architectures
Requirements
- The ideal candidate will have experience designing platform for scalable data pipelines implementing cloud infrastructure and enabling enterprise analytics and AIML workloads, * 5 years of cloud engineering experience
- 3 years of Google Cloud Platform experience
- 3 years of Python development experience
- 3 years of Data Engineering experience
Preferred Qualifications:
- Knowledge of Terraform FinOps and cloud cost optimization
Nice to Have:
- Google Cloud Professional Cloud Architect Certification
- Google Cloud Professional Data Engineer Certification