Google Cloud Platform Python Data Engineer

We are seeking a hands-on Google Cloud Platform Python Data Engineer to design, develop, and optimize cloud-native data solutions supporting enterprise analytics, AI/ML, and business intelligence initiatives.

This role is ideal for a data engineering professional with strong Google Cloud Platform expertise, advanced Python development skills, and experience building scalable batch and real-time data pipelines.

Candidates may be considered at the Senior Consultant, Managing Consultant, or Senior Manager level depending on experience.

Responsibilities
Design, build, and optimize data pipelines on Google Cloud Platform
Develop ETL/ELT solutions using Dataflow, Dataproc, Pub/Sub, and BigQuery
Create scalable Python-based applications and data processing frameworks
Design and support data lake and data warehouse architectures
Build event-driven solutions using Cloud Functions and Pub/Sub
Automate workflows with Cloud Composer (Airflow)
Support AI/ML and advanced analytics use cases
Collaborate with business, analytics, and engineering teams
Troubleshoot production issues and improve pipeline performance, reliability, and scalability
Contribute to CI/CD and cloud deployment automation efforts
Required Qualifications
5+ years of data engineering or software engineering experience
2+ years of hands-on Google Cloud Platform experience
2+ years of Python development experience
Experience developing batch and streaming data pipelines
Advanced SQL skills
Experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow
Strong understanding of ETL/ELT, data warehousing, and data lake architectures
Preferred Qualifications
Financial Services experience preferred
Experience with Vertex AI, Gemini, LLMs, RAG solutions, or Agentic AI frameworks
Experience with Spark or PySpark
Terraform or Infrastructure as Code experience
Knowledge of cloud cost optimization and FinOps concepts
Google Cloud Professional Data Engineer certification
Experience supporting AI/ML data platforms