GCP Data Engineer
Role: GCP Data Engineer Duration: 12 Months+ End Date: 12/31/27 Location: Remote Exp: 8-10+ years Interview: Two rounds Work authorization: We are currently unable to provide visa sponsorship for this position
Overview
Design, build, test & support data integrations for CDEX/DataShare Experience 8-10 years in Data Engineering GCP experience Data Pipeline Development Understanding of Data Governance Principles Skillset GCP BigQuery: Query optimization, partitioning, clustering, data modeling Cloud Storage: Bucket management, lifecycle policies, data archival Cloud Composer: Apache Airflow for workflow orchestration Python: Primary language for data engineering to build pipelines SQL: Advanced querying, window functions, CTEs Bash/Shell: Automation and scripting Monitoring: Cloud Logging, Cloud Monitoring Git: Version control Data Warehousing: Dimensional modeling, ETL/ELT patterns Data Quality: Validation, testing, monitoring Performance Optimization: Query tuning, cost optimization Preferred Dataflow: Apache Beam, Streaming/Batch Processing Pipelines Pub/Sub: Event-Driven Architecture, Message Queuing Cloud Functions: Serverless Data Processing Triggers Real-time Processing: Streaming Analytics PBM/Healthcare Experience Strong Analytical & Problem-Solving Skills Excellent Communication Skills Ability to Effectively Collaboration with Cross-Functional Teams