Sr. GCP Data Engineer / Developer (Java, Dataflow, Dataform, BigQuery)

iSpace, Inc. is seeking a Senior GCP Data Engineer / Developer to support a large-scale enterprise data transformation initiative. This role will focus on designing, developing, and optimizing cloud-native data solutions within the Google Cloud Platform ecosystem.

Responsibilities:

• Design, develop, and maintain scalable data processing solutions using Java and Google Cloud Platform (GCP) technologies
• Build and optimize batch and streaming data pipelines using Google Cloud Dataflow
• Develop and maintain data transformation frameworks using Dataform and BigQuery
• Create, optimize, and troubleshoot complex SQL queries, views, stored procedures, and data models
• Develop scalable ELT/ETL processes supporting enterprise reporting, analytics, and data initiatives
• Collaborate with architects, business stakeholders, and engineering teams to translate business requirements into technical solutions
• Ensure data quality, reliability, performance, and governance across enterprise data platforms
• Support application integrations, data migrations, and cloud modernization initiatives
• Participate in code reviews, performance tuning, testing, deployment, and production support activities
• Document technical designs, data flows, and development standards

Requirements:

• 5+ years of software development and/or data engineering experience
• Strong proficiency in Java development
• Hands-on experience with Google Cloud Platform (GCP)
• Experience developing and supporting Dataflow pipelines
• Experience with Dataform for data transformation and workflow management
• Advanced SQL skills, including query optimization, data modeling, and performance tuning
• Strong experience with BigQuery (BQ), including: Data modeling, Query optimization, Partitioning and clustering, Performance tuning
• Experience with ETL/ELT development and large-scale data processing
• Strong understanding of object-oriented programming, software design, and development best practices
• Experience working within Agile development environments
• Experience with GCP services such as: Pub/Sub, Cloud Storage, Cloud Composer, Dataproc, Cloud Functions
• Experience supporting enterprise data transformation or modernization programs
• Exposure to AI, machine learning, or advanced analytics environments
• Experience with Git-based source control and CI/CD pipelines
• Familiarity with data governance and cloud security best practices