Google Cloud Data Fusion Engineer
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Job Description
Job Title: Google Cloud Data Fusion Engineer
Location: Offshore/Hybrid | Experience: 5+ Years | Engagement:
Full-Time/Contract
Key Responsibility :
Design and develop scalable ETL/ELT pipelines using Google Cloud Data Fusion.
Build reusable pipeline templates and standardized orchestration patterns.
Develop and maintain both batch and real-time streaming data pipelines.
Integrate data from on-premises systems, third-party platforms, and cloud sources into GCP.
Monitor pipeline performance, identify issues, and troubleshoot failures.
Handle schema evolution, enforce data quality checks, and implement validation logic.
Establish data quality frameworks with automated testing.
Configure and optimize Apache Spark jobs within Data Fusion.
Apply data governance standards and industry best practices.
Enable auditing and data lineage tracking through Data Fusion metadata.
Implement scheduling, monitoring, and alerting mechanisms.
Integrate pipelines with workflow orchestration tools such as Cloud Composer.
Collaborate with analysts and stakeholders to gather and refine data requirements.
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