Data Architect/Engineer

Job Summary: Data Architect/Engineer (Google Cloud Platform)
Duration: 6-12 Months Contact
Location: Issaquah, Washington (Hybrid)
Visa: USC/GC

Key Responsibilities
* Data Pipeline Development: Design, build, test, and maintain scalable data pipelines and ETL processes using Python and GCP services (e.g., Dataflow, BigQuery, Pub/Sub).
* Data Integration & Modeling: Implement batch and real-time data integration workflows, optimize data models and architecture for performance and storage efficiency.
* Collaboration & Support: Work with cross-functional teams to gather data requirements and support data analysts with curated datasets and tools.
* System Reliability: Monitor, troubleshoot, and tune data systems for high availability, scalability, and disaster recovery.
* DevOps Enablement: Build and manage CI/CD pipelines using GitHub and Terraform; ensure security compliance and operational readiness.
Mandatory Skills & Qualifications
Technical Expertise:
* Strong Python programming and Spark experience for data analytics.
* Proficient in GCP services: GCS, Dataflow, Cloud Functions, Composer, Scheduler, Datastream, Pub/Sub, BigQuery, Dataproc.
* Skilled in Apache Beam for batch and stream processing.
* Experience with REST API ingestion, JSON messaging, and scripting (Shell, Perl).
* Deep understanding of SQL, cloud-native databases, and data warehousing concepts.
* Engineering & Migration:
* Proven experience in migrating legacy systems to modern cloud-based architectures.
* Familiarity with distributed computing frameworks and large-scale data handling.
DevOps & Security:
* CI/CD pipeline development with GitHub and Terraform.
* Security integration in deployment workflows.
Soft Skills:
* Strong problem-solving and analytical abilities.
* Excellent communication and teamwork skills.