Google Cloud Data Fusion Engineer
Thrive IT Systems
Job Overview
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Job Description
Google Cloud Data Fusion Engineer
Thrive IT Systems is seeking a skilled Google Cloud Data Fusion Engineer with 5+ years of experience to join our team on a contract basis. This is a remote position.
Role Summary
As a Google Cloud Data Fusion Engineer, you will be responsible for designing, developing, and optimizing data integration pipelines on Google Cloud. You will build scalable ETL/ELT workflows, integrate diverse data sources, and enable a high-quality data platform and analytics in a cloud environment. You will work closely with data architects, analysts, and application teams to support enterprise-wide data initiatives.
Key Responsibilities
- Design and develop ETL/ELT data pipelines in Google Cloud Data Fusion.
- Build reusable pipeline templates and orchestration patterns.
- Support both batch and real-time streaming pipelines.
- Integrate data from on-premises, third-party, and cloud sources into GCP.
- Monitor pipeline performance and troubleshoot failures.
- Manage schema evolution, data quality checks, and validation logic.
- Implement data quality frameworks and automated testing.
- Configure and optimize Apache Spark jobs via Data Fusion.
- Apply data governance standards and best practices.
- Enable auditing and lineage capture using Data Fusion metadata.
- Implement scheduling, monitoring, and alerting.
- Integrate with workflow tools like Cloud Composer.
- Work with analysts to understand data requirements.
Required Skills
- 5+ years in data engineering or ETL development.
- 2+ years of Hands-on experience with Google Cloud Data Fusion.
- Strong SQL and relational database expertise.
- Experience with Apache Spark (SQL, dataframes, performance tuning).
- Working knowledge of BigQuery, Cloud Storage.
- Data modelling and metadata management.
- Version control (Git), CI/CD pipelines for data workflows.
Preferred Qualifications
- GCP certifications (e.g., Professional Data Engineer).
- IBM Datastage ETL tool knowledge.
Key skills/competency
- Google Cloud Data Fusion
- Data Engineering
- ETL/ELT Development
- SQL
- Apache Spark
- BigQuery
- Cloud Storage
- Data Modeling
- Metadata Management
- CI/CD
How to Get Hired at Thrive IT Systems
- Tailor your resume: Highlight your Google Cloud Data Fusion experience and SQL skills.
- Showcase your portfolio: Demonstrate past data pipeline projects with quantifiable results.
- Prepare for technical questions: Be ready to discuss ETL/ELT concepts and Spark optimization.
- Understand GCP: Familiarize yourself with BigQuery and Cloud Storage best practices.
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