Sr. GCP 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 GCP Data Engineer position at AgreeYa Solutions involves designing, building, and optimizing scalable data solutions on the Google Cloud Platform (GCP). The role requires a strong background in data engineering, data modeling, and data analysis, with a focus on creating data pipelines and insightful reports that support decision-making. The engineer will collaborate with cross-functional teams to develop robust data models and analytics solutions, utilizing various GCP tools and technologies.

Responsibilities

• Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform (GCP).
• Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL.
• Utilize GCP Data Flow and other GCP services to automate data processing and orchestration.
• Leverage GCP 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 GCP.
• 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 (GCP) and its services.
• Experience with BigQuery, Python, PySpark, LookML, SQL, GCP Data Studio, and GCP Data Flow.
• Ability to design and optimize data pipelines and architectures.
• Strong analytical skills to conduct data analysis and identify insights.

Nice-to-haves

• Experience with data governance and compliance best practices.
• Familiarity with data visualization tools and techniques.
• Knowledge of machine learning concepts and applications.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and training.
• Flexible work arrangements.