Sr. Google Cloud Platform Data Engineer

AgreeYa Solutions - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

The Sr. Google Cloud Platform Data Engineer will be responsible for designing, building, and optimizing scalable data solutions on the Google Cloud Platform. This role requires a strong background in data engineering, data modeling, and data analysis, with a focus on creating data pipelines and insightful reports that drive decision-making. The engineer will collaborate with cross-functional teams to develop robust data models and analytics solutions, utilizing various Google Cloud services and tools.

Responsibilities

• Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform.
• Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL.
• Utilize Google Cloud Platform Data Flow and other services to automate data processing and orchestration.
• Leverage Google Cloud Platform Looker Studio to create insightful dashboards and reports that provide business value.
• Collaborate with data scientists, analysts, and other stakeholders to gather requirements and translate them into technical solutions.
• Conduct data analysis to identify trends, patterns, and insights to support data-driven decision-making.
• Apply advanced data modeling techniques to ensure data quality, integrity, and consistency.
• Manage and optimize the entire data lifecycle, from ingestion to archiving and deletion.
• Develop and implement best practices for data governance, security, and compliance on Google Cloud Platform.
• Communicate complex data findings to non-technical stakeholders through storytelling and data visualization.

Requirements

• Strong background in data engineering and data modeling.
• Proficiency in Google Cloud Platform services, particularly BigQuery, Data Flow, and Looker Studio.
• Experience with programming languages such as Python and PySpark.
• Solid understanding of SQL and ETL processes.
• Ability to analyze data and derive actionable insights.
• Experience in data governance, security, and compliance.

Nice-to-haves

• Experience with data visualization tools and techniques.
• Familiarity with machine learning concepts and applications.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and training.
• Flexible working hours and hybrid work environment.