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GOOGLE CLOUD PLATFORM DATA ARCHITECT

Full Time
Columbia, MD 21045
Posted Today
Job description

Job Description

At Bed Bath & Beyond, we are working to transform the company to make it a data driven organization. To get there we need exceptionally talented, bright and driven people. We are looking for passionate GCP Data Architects to join our Data & Analytics team to architect and modernize the enterprise data solutions on Google Cloud Platform integrating GCP services and 3rd party data technologies.

Key Responsibilities :

  • Lead a team of data engineers in designing, developing, testing and deploying high performance data pipelines in GCP.
  • As an architect, work with implementing teams providing subject matter expertise for successfully deploying large scale data solutions in GCP.
  • Analyze and understand Big Data technologies on GCP and lead in architecting data strategies.

Basic Qualifications :

  • Solid experience and understanding of large-scale architecting, solutioning and operationalization of data warehouses, data lakes and analytical platforms in GCP.
  • 3+ years designing and operationalizing large scale enterprise data solutions and applications using one or more of GCP data services in combination with 3rd parties – Databricks Spark, Cloud BigQuery, Cloud Dataflow, Apache Airflow, Cloud PubSub, Cloud Functions etc.
  • 3+ years of hands-on experience analyzing, re-architecting and re-platforming on premise data warehouses to data platforms on GCP using GCP / 3RD party services.
  • 3+ years of experience with designing and building production data pipelines from ingestion to consumption using Python / Java / Scala & SQL.
  • Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP.
  • Understanding of end to end data analytics solutions from ingestion through visualization for large-scale, complex data environments.
  • Google Cloud Certified Data Engineer.

Mail Resume to [email protected] in the format [First name]_[Job Title].Pdf or [First name]_[Job Title].docx

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