Sr. Cloud Data Engineer / Cloud Data Engineer - Gcp

Key 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.

Qualifications:
-Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
-8+ years of hands-on experience in data engineering, data modeling, and analytics on Google Cloud Platform (GCP).
-Proficient in BigQuery, LookML, Python, PySpark, and SQL for data processing and analysis.