Sr. GCP Data Engineer (Job-ID 3301)
# Sr. GCP Data Engineer (Job-ID 3301) **KANINI** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[GCP-Data-Engineer]` `[Cloud-Data-Engineer]` `[Data-Platform-Engineer]` `[Senior-Cloud-Data-Engineer]` `[Senior-Cloud-Data-Platform-Engineer]` --- ### About the Role This is a remote position. KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture , and building robust enterprise-grade data solutions. This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow , along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices. Key Responsibilities - Design, develop, and maintain scalable batch and real-time data pipelines on GCP - Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing - Build high-performance data transformations using Python and PySpark - Develop and optimize complex SQL queries for analytical workloads - Work extensively with BigQuery for large-scale data processing and performance tuning - Develop and deploy pipelines using Cloud Dataflow - Orchestrate workflows using Cloud Composer (Apache Airflow) - Manage data storage and lifecycle using Google Cloud Storage (GCS) - Implement version control and CI/CD pipelines using Git-based tools - Ensure data security, governance, and access control using GCP IAM - Optimize data solutions for performance, scalability, reliability, and cost-efficiency Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) - Expertise in BigQuery (partitioning, clustering, query optimization) - Proven experience implementing Medallion Data Architecture - Strong programming skills in Python and PySpark - Hands-on exposure on Java - Advanced proficiency in SQL (complex joins, window functions, performance tuning) - Hands-on experience with Cloud Dataflow - Experience with Cloud Composer (Airflow) for orchestration - Experience working with Google Cloud Storage (GCS) - Knowledge of version control systems (Git) and CI/CD practices - Strong understanding of GCP IAM and cloud security best practices Preferred Qualifications - Experience working with large-scale enterprise data platforms - Knowledge of data warehousing and data lake concepts - Familiarity with real-time streaming frameworks - Experience in data governance and data quality frameworks - Exposure to Originally posted on Himalayas
- Data-Engineer
- GCP-Data-Engineer
- Cloud-Data-Engineer
- Data-Platform-Engineer
- Senior-Cloud-Data-Engineer
- Senior-Cloud-Data-Platform-Engineer
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).