Senior Cloud Data Engineer, GCP Data Fabric
Posted 19hrs ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Cloud Data Engineer spearheading data migration initiatives to Google Cloud Platform. Focused on optimizing cloud data pipelines, data integrity, and implementing modern data architectures.
Responsibilities:
- Lead migration of over 100TB of enterprise data from Cloudera Hadoop environments into Google Cloud Platform
- Migrate data from HDFS, Hive, AWS S3, and FSx into BigQuery
- Validate data integrity throughout migration activities
- Optimize storage, performance, and scalability
- Design and develop modern cloud-native data pipelines
- Build scalable ingestion and transformation frameworks
- Develop optimized BigQuery storage models
- Support enterprise Data Fabric implementation
- Design and implement Medallion Architecture (Bronze, Silver, Gold)
- Develop secure and scalable data movement frameworks
- Improve platform reliability, performance, and operational efficiency
- Support cloud-native data engineering best practices
Requirements:
- 6+ years of Cloud Data Engineering experience
- Advanced experience with Cloudera (HDFS/Hive)
- Experience migrating large-scale enterprise data platforms
- Strong Google Cloud Platform (GCP) experience
- Experience with BigQuery
- Experience building modern cloud data pipelines
- Experience working with Hadoop ecosystems (HDFS, Hive)
- Experience with AWS data storage services (S3 and/or FSx)
- Experience designing and implementing Medallion Architecture (Bronze, Silver, Gold)
- Strong SQL and data engineering fundamentals
- Experience optimizing large-scale data storage and processing
- Excellent troubleshooting and problem-solving skills
- Data Fabric implementation experience (preferred)
- Serverless data architecture (preferred)
- Data lake modernization (preferred)
- Data governance and security (preferred)
- Data quality and validation frameworks (preferred)
- CI/CD for data engineering (preferred)
- Infrastructure as Code (preferred)
- Python or Spark development experience (preferred)
- Enterprise cloud migration experience (preferred)


















