Google Cloud Platform) Developer

Python, BigQuery, and Google Cloud Platform Developer, * Design, develop, and maintain Python-based applications deployed on Google Cloud Platform (Google Cloud Platform).

• Build, manage, and optimize data processing pipelines and workflows.
• Design, develop, and maintain DAG-based workflows using orchestration tools such as Apache Airflow or equivalent.
• Develop and optimize data models and complex queries in BigQuery, focusing on performance, scalability, and cost efficiency.
• Analyze and address complex software engineering challenges that require evaluation of multiple technical and business factors.
• Collaborate with software engineers, data engineers, and stakeholders to deliver scalable, reliable, and secure solutions.
• Consult with client and partner teams on solution design, implementation strategies, and best practices.
• Ensure solutions align with organizational standards, policies, and compliance requirements.

As a Python, BigQuery, and Google Cloud Platform (Google Cloud Platform) Developer, you will contribute to complex, large-scale software engineering initiatives that support data-driven decision-making. In this role, you will consult on broad technical challenges, design scalable cloud-based solutions, and collaborate closely with cross-functional partners to deliver reliable and compliant systems. This position requires strong technical expertise, strategic thinking, and the ability to work on multi-faceted, long-term engineering efforts., * 5+ years of experience in software engineering, or equivalent practical experience gained through work, consulting, education, training, or military service.

• Proficiency in Python for building production-grade applications.
• Hands-on experience deploying and operating applications on Google Cloud Platform (Google Cloud Platform).
• Experience using BigQuery, including writing complex queries and optimizing performance.
• Experience building and maintaining data processing or ETL pipelines.
• Experience designing and maintaining DAG-based workflows (e.g., Apache Airflow or similar tools).

Preferred Qualifications

• Experience working on large-scale or long-term software engineering initiatives.
• Strong understanding of cloud-native architectures and data platforms.
• Experience collaborating with cross-functional engineering and data teams.
• Demonstrated ability to troubleshoot complex, multi-faceted technical problems and deliver sustainable solutions.