GCP Data Solutions Architect
6 days ago
Job Title: GCP Data Solutions Architect
Job Summary:
We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and optimize scalable data solutions.
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:
- Bachelor's or Master's 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.
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