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    GCP Data Architect - Ohio City, United States - ClifyX

    ClifyX
    ClifyX Ohio City, United States

    6 days ago

    Default job background
    Description
    GCP Data Architect

    Location:
    Ohio but Remote can be considered.
    Only FTE no contract please.

    Salary:
    As per market standard.

    # GCP Data Architecture and designing streaming & Batch pipelines
    # Data processing services:
    Dataproc ( Pyspark ) & Dataflow (Apache Beam)
    # Cloud databases:
    Spanner, Cloud SQL, Memory store, BigQuery ,
    # Looker studio & Operations suite (Cloud monitoring and Logging)
    # Google certified Data Engineer
    Secondary Skill
    # Python, Flask FastAPI Development


    Role Description:
    # Develop data solutions in distributed microservices and full stack systems
    # Responsible and accountable for doing requirement gathering and creation of Architecture, High level, and detailed technical design using GCP Data focused reference Architecture
    # Participate in the analysis of newest technologies and suggest the optimal solutions which will be best suited for satisfying the current requirements and will simplify the future modifications.
    # Provide design expertise with Master Data Management, Data Quality and Meta Data Management
    # Design systems to provide complete observability and support continuous improvement in DevOps Automation
    # Design appropriate data models for the use in transactional and big data environments as an input into Machine Learning processing.

    Design and Build the necessary infrastructure for optimal ETL from a variety of data sources to be used on GCP services.

    # Experience with SQL and NoSQL modern data stores.
    # Ensure clarity on NFR and implement these requirements.
    # Develop data and semantic interoperability specifications
    # Build relationships with client stakeholders to establish a high-level of rapport and confidence. Work with clients, local teams and offshore resources to deliver modern data products
    # Collaborate with several external vendors to support data acquisition.
    # Knowledge of SAFe delivery model and groom requirements for PI backlog, Sprint backlog and identify all technical dependencies between teams
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