25 days ago

Google Cloud Data Fusion Engineer

Thrive IT Systems

Hybrid
Part Time
$120,000
Hybrid

Job Overview

Job TitleGoogle Cloud Data Fusion Engineer
Job TypePart Time
Offered Salary$120,000
LocationHybrid

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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

Tags:

Google Cloud Data Fusion
Data Engineering
ETL
ELT
Data Pipelines
SQL
Apache Spark
BigQuery
Cloud Storage
GCP
Remote
Contract

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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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