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Data Engineer-Data Platforms-Google @ IBM

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 Data Engineer-Data Platforms-Google

Job Description


  • Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc.
  • Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation
  • Ability to analyse data for functional business requirements & front face customer
  • Required education
    Bachelor's Degree Preferred education
    Master's Degree Required technical and professional expertise
  • 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform.
  • Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer
  • You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
  • Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work
  • Preferred technical and professional experience
  • Create up to 3 bullets maxitive individual with an ability to manage change and proven time management
  • Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
  • Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Platform Engineer
    Employement Type: Full time

    Contact Details:

    Company: IBM
    Location(s): Hyderabad

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    Keyskills:   sql gcp bigquery cloud sql python hive gen java postgresql spark linux mysql hadoop big data pubsub airflow application engine machine learning sql server dataproc cloud storage bigtable agile sqoop aws data flow

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