Google Cloud Platform Data Engineer / Developer

• Design, develop, and maintain scalable data processing solutions using Java and Google Cloud Platform (Google Cloud Platform) 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.

Applicants must be authorized to work in the U.S. without current or future employer sponsorship. Sponsorship for employment visas is not available for this role.

We are seeking a Senior Google Cloud Platform 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 (Google Cloud Platform) ecosystem. The ideal candidate will bring strong expertise in Java, Dataflow, Dataform, BigQuery, and advanced SQL, with the ability to build scalable data pipelines, support data modernization efforts, and deliver high-performance analytics solutions., * 5+ years of software development and/or data engineering experience.

• Strong proficiency in Java development.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform).
• 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.

Preferred Qualifications

• Experience with Google Cloud Platform 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.