GCP Data Engineer

February 20

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Onebridge

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Onebridge is a BI, Data Analytics, and Enterprise Application Development consulting firm. We’ve served some of the largest healthcare, life-sciences, manufacturing, financial services, and government entities in the U.S. for over 15 years. 100% Employee owned and operated, Onebridge is a top “Best Places to Work” in Indianapolis for six years in a row.

Data Analytics • Data Visualization • Data Management • Application Development • Managed Services

201 - 500 employees

📋 Description

• Design, develop, and maintain robust data pipelines leveraging GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage. • Optimize and scale large-scale ETL workflows to ensure high performance, reliability, and efficiency in data processing. • Implement data modeling, warehousing solutions, and best practices for data organization and accessibility using BigQuery. • Ensure data quality and integrity by developing rigorous testing, validation, and monitoring mechanisms across all data workflows. • Collaborate effectively with data scientists, analysts, and application teams to translate business requirements into scalable data solutions. • Automate infrastructure deployment using Infrastructure-as-Code (IaC) tools like Terraform, and manage security, access control, and compliance standards.

🎯 Requirements

• 5+ years of experience as a Data Engineer with deep expertise in Google Cloud Platform (GCP) and a proven track record of designing scalable data solutions. • Proficient in SQL and Python, utilizing these skills to develop efficient data pipelines, process large datasets, and automate workflows. • Hands-on experience with GCP services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer for building robust cloud-based data infrastructure. • Strong understanding of ETL/ELT processes, with expertise in handling and transforming large-scale datasets in cloud environments. • Familiarity with distributed data processing frameworks like Apache Beam, Spark, and others to handle complex data transformations at scale. • In-depth knowledge of data governance, security best practices, and compliance standards, ensuring the integrity and safety of cloud-based data systems. • Experience in the Telco domain or a Google Cloud Professional Data Engineer Certification are highly desirable.