"Google Cloud Platform Python Lead Data Platform Engineer" at Charlotte, NC/ Irvine, TX/ Edison, NJ/ Phoenix AZ (Hybrid Onsite)

Role: Google Cloud Platform Python Lead Data Platform Engineer

Locations: Charlotte, NC/ Irvine, TX/ Edison, NJ/ Phoenix AZ (Hybrid Onsite)

Duration: 12+ Months Contract

F2F Interview MUST

Note: Candidate needs to be in the office 3-4 Days every week. Local candidates only.

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
• The ideal candidate will have experience designing platform for scalable data pipelines implementing cloud infrastructure and enabling enterprise analytics and AIML workloads

Key Responsibilities:

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

Required Experience:

• 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