What are the responsibilities and job description for the Google Cloud Platform Data Architect position at Jobs via Dice?
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Core Responsibilities
Core Responsibilities
- Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development.
- Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
- Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
- Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
- Cloud Platform Expertise (Google Cloud Platform Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (Google Cloud Platform) services, specifically:
- BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
- Experience with other relevant Google Cloud Platform services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
- Programming & Querying:
- Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
- SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
- Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
- DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
