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

Hybrid in Irving, TX, US • Posted 1 hour ago • Updated 1 hour ago

Contract Independent

Contract W2

Contract Corp To Corp

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

GCP
Google Cloud Platform
Data Platform Engineer
Cloud Storage
Big Query
Cloud Composer
Airflow
PubSub
Dataproc
Dataflow

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120856
Position Id: 9020200
Posted 1 hour ago

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