Google Cloud Platform Data Engineer (Richardson, TX or Scottsdale, AZ or IL)

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

GCP
Big query
ETL

Job Details

Google Cloud Platform Data Engineer/Lead Onsite

Required Qualifications:

  • 9+ years experience and hands on with Data Warehousing.
  • 9+ years of hands on ETL (e.g., Informatica/DataStage) experience
  • 3+ years of hands-on Big query
  • 3+ years of hands on Google Cloud Platform
  • 9+ years of Teradata hands on experience
  • 9+ years working in a cross-functional environment.
  • 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage
  • 3+ years of hands-on experience building modern data pipelines with Google Cloud Platform platform
  • 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
  • 3+ years of experience with SQL, NoSQL
  • 3+ years of experience in data engineering with a focus on microservices-based data solutions
  • 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline
  • 3+ years of experience with Python (or a comparable scripting language)
  • 3+ years of experience with Big data and cloud architecture
  • 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,)
  • Excellent oral and written communications skills; ability to interact effectively with all levels within the organization.
  • Working knowledge of AGILE/SDLC methodology
  • Excellent analytical and problem-solving skills.
  • Ability to interact and work effectively with technical & non-technical levels within the organization.
  • Ability to drive clarity of purpose and goals during release and planning activities.
  • Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.
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