Data Engineer
Posted 2025-08-23
Remote, USA
Full Time
Immediate Start
<p>Patrianna is a rapidly expanding product development company headquartered in Gibraltar, with a dynamic team spanning the globe. We are on the lookout for exceptional talent-driven, ambitious individuals who are ready to elevate business functions with expertise, adaptability, and a passion for continuous growth.</p><p>We’re looking for a skilled Data Engineer to design, build, and manage advanced data systems that convert raw data into actionable insights. You will collaborate across data, IT, and business teams to implement scalable architecture and robust pipelines using modern cloud and data engineering best practices, primarily within Google Cloud Platform (GCP).</p>
<p>Key Responsibilities</p>
<p>Data Pipeline Development</p>
<ul><li>Develop and maintain scalable, automated data pipelines using CI/CD practices.</li><li>Leverage Dataform to manage transformation workflows directly in BigQuery.</li><li>Implement end-to-end pipeline deployment with CI/CD tools in the GCP ecosystem.</li></ul>
<p>API Integration</p>
<ul><li>Design and implement APIs for ingesting external data into the Data Warehouse.</li><li>Ensure reliable, secure data flow across internal systems and third-party sources.</li></ul>
<p>Data Modeling</p>
<ul><li>Build optimized data models to enhance query performance and system integration.</li><li>Align models with tools like BigQuery and Datastream for efficient storage and processing.</li></ul>
<p>ETL / Reverse ETL</p>
<ul><li>Create and manage ETL and reverse ETL pipelines using Google Dataflow or other tools.</li><li>Ensure clean, high-quality data movement and transformation.</li></ul>
<p>Data Quality & Compliance</p>
<ul><li>Implement monitoring to ensure data accuracy, consistency, and integrity.</li><li>Maintain compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards.</li></ul>
<p><strong>Required Qualifications</strong></p>
<ul><li>Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.</li></ul>
<p><strong>Strong experience in:</strong></p>
<ul><li>GCP tools and services (especially BigQuery, Dataform, Dataflow)</li><li>API development</li><li>ETL and reverse ETL processes</li><li>Data modeling</li><li>CI/CD methodologies</li><li>Familiarity with data governance and compliance practices.</li></ul>
<p><strong>Preferred Skills</strong></p>
<ul><li>Google Cloud certifications (e.g., Professional Data Engineer, Cloud Architect).</li><li>Strong communication and cross-functional collaboration skills.</li><li>Familiarity with modern data stack and orchestration tools.</li></ul>
<p>Key Responsibilities</p>
<p>Data Pipeline Development</p>
<ul><li>Develop and maintain scalable, automated data pipelines using CI/CD practices.</li><li>Leverage Dataform to manage transformation workflows directly in BigQuery.</li><li>Implement end-to-end pipeline deployment with CI/CD tools in the GCP ecosystem.</li></ul>
<p>API Integration</p>
<ul><li>Design and implement APIs for ingesting external data into the Data Warehouse.</li><li>Ensure reliable, secure data flow across internal systems and third-party sources.</li></ul>
<p>Data Modeling</p>
<ul><li>Build optimized data models to enhance query performance and system integration.</li><li>Align models with tools like BigQuery and Datastream for efficient storage and processing.</li></ul>
<p>ETL / Reverse ETL</p>
<ul><li>Create and manage ETL and reverse ETL pipelines using Google Dataflow or other tools.</li><li>Ensure clean, high-quality data movement and transformation.</li></ul>
<p>Data Quality & Compliance</p>
<ul><li>Implement monitoring to ensure data accuracy, consistency, and integrity.</li><li>Maintain compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards.</li></ul>
<p><strong>Required Qualifications</strong></p>
<ul><li>Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.</li></ul>
<p><strong>Strong experience in:</strong></p>
<ul><li>GCP tools and services (especially BigQuery, Dataform, Dataflow)</li><li>API development</li><li>ETL and reverse ETL processes</li><li>Data modeling</li><li>CI/CD methodologies</li><li>Familiarity with data governance and compliance practices.</li></ul>
<p><strong>Preferred Skills</strong></p>
<ul><li>Google Cloud certifications (e.g., Professional Data Engineer, Cloud Architect).</li><li>Strong communication and cross-functional collaboration skills.</li><li>Familiarity with modern data stack and orchestration tools.</li></ul>