Job Title: Data Engineer GCP
Duration: Long Term
Location: Charlotte, NC
Rate: $55/hr. on C2C
Job Description
We are looking for an experienced GCP Data Engineer with strong expertise in Google Cloud Platform, data engineering, data governance, metadata management, and cloud security. The candidate should have hands-on experience building scalable data pipelines, implementing data governance solutions, and securing enterprise data platforms.
Mandatory Skills
- GCP Services: BigQuery, Google Cloud Storage (GCS), Cloud Composer (Apache Airflow), Cloud Functions, Pub/Sub, and Cloud SQL.
- Data Governance: Dataplex, Data Lineage, Data Discovery, Data Classification, Metadata Management, and Policy Tag Taxonomy.
- Security & Compliance: IAM, RBAC, BigQuery Policy Tags, Sensitive Data Protection (SDP/DLP), Audit, Monitoring, and Reporting.
- Programming & Development: Expert-level Python, REST APIs, Git/GitHub, CI/CD Pipelines, and Cloud-Native Application Development.
Nice-to-Have Skills
- Data Platform Engineering.
- GCP Streaming and Real-Time Data Processing.
- Strong understanding of GCP Platform Architecture.
- Google Cloud Certifications.
Secondary Skills
- Agentic AI Workflow Design.
- AI Orchestration Frameworks such as LangGraph, LangChain, CrewAI, and Semantic Kernel.
Key Responsibilities
- Design, develop, and maintain scalable GCP-based data pipelines.
- Build and optimize BigQuery and GCS data solutions.
- Implement data governance, metadata management, and data lineage using Dataplex.
- Manage data security, access controls, policy tags, and DLP solutions.
- Develop automation and cloud-native applications using Python.
- Implement CI/CD pipelines and support enterprise data platform engineering.