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Senior GCP Data Engineer

Arkhyatech — United States · Posted ~3 hours ago

Senior Contract Onsite

Skills

GCP BigQuery Cloud Dataflow Cloud Composer Airflow Cloud Storage MongoDB Python SQL ETL ELT data warehousing CI/CD cloud monitoring data pipeline troubleshooting Starburst Dremio

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Summary ✨ AI‑Generated

Build and operate scalable data pipelines using cloud-native data services, Python, and complex SQL. You will integrate NoSQL data into cloud storage and analytics platforms, troubleshoot pipeline failures, implement CI/CD and monitoring, and optimize large-scale data workloads.

Highlights

Hands-on senior data engineering role focused on scalable GCP-native data pipelines, advanced Python and SQL, MongoDB integration, monitoring, troubleshooting, and performance optimization. The role offers deep exposure to modern cloud data services.

Description

Must have : starburst or dremio exp Role : GCP Data Engineer Contract Charlotte, NC - Onsite Job Description: Required Qualifications & Skills Core GCP: Hands-on experience with core gcp data services: Big Query, Cloud Dataflow, Cloud Composer (Airflow), and Cloud Storage. Databases: Strong proficiency in NoSQL databases (specifically MongoDB) and data warehousing concepts. Programming: Advanced programming and scripting skills in Python and complex SQL. Support & CI/CD: Experience utilizing Cloud Logging/Monitoring for root cause analysis and implementing CI/CD frameworks. Key Responsibilities Pipeline Integration: Design, build, and deploy scalable ETL/ELT data pipelines using Python and GCP-native services. Database Management: Integrate data from MongoDB into Google Cloud Storage and load/transform it in Big Query for analytics. Support & Debugging: Monitor, troubleshoot, and resolve pipeline failures and data discrepancies. Performance Tuning: Optimize Big Query queries, Dataflow jobs, and MongoDB indexing to ensure cost-efficiency and fast execution.