GCP Data Engineer

Accenture-posted about 1 year ago
$73,000 - $220,400/Yr
Full-time • Mid Level
Minneapolis, MN
Professional, Scientific, and Technical Services
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The GCP Data Engineer at Accenture will lead technology innovation by architecting and modernizing enterprise data solutions on Google Cloud Platform (GCP). This role involves collaborating with a team to deliver high-performance data analytics solutions, utilizing a broad set of technology skills to design effective solutions that integrate GCP services and third-party technologies. The position requires a strong understanding of data architecture, data lakes, and analytics platforms, with a focus on delivering innovative solutions to complex business challenges.

  • Lead a team of data engineers in designing, developing, testing, and deploying high-performance data analytics solutions in GCP.
  • Work with implementation teams from concept to operations, providing technical expertise for deploying large-scale data solutions.
  • Build solution architecture, provision infrastructure, and secure data-centric services in GCP.
  • Implement end-to-end data analytics solutions for large-scale client environments.
  • Analyze Big Data and analytical technologies on GCP to assist clients with their architecture and data strategies.
  • Communicate complex technical topics to non-technical business and senior executives.
  • Support data migration and transformation projects.
  • Utilize Google AutoML framework to enhance data pipelines.
  • Minimum of 5 years of experience in any cloud platform, including 2 years of deep experience with GCP data and analytics services.
  • Minimum of 3 years of experience in re-architecting on-premise data warehouses to GCP and building production data pipelines using Java, Python, or Scala.
  • Minimum of 3 years of expertise in architecting and implementing data and analytics platforms on GCP.
  • Minimum of 3 years of hands-on experience architecting data lakes on GCP and implementing data ingestion solutions.
  • Minimum of 3 years of proficiency in designing and optimizing data models on GCP using BigQuery and BigTable.
  • Minimum of 2 years of proficiency in using Google Cloud's Vertex AI platform for machine learning models.
  • Bachelor's degree or equivalent work experience.
  • Experience in architecting and implementing metadata management, data governance, and security for data platforms on GCP.
  • Ability to design operations architecture and conduct performance engineering for large-scale data lakes.
  • Experience with Hadoop/NoSQL clusters on-premise or in the cloud.
  • Familiarity with self-service data preparation tools on GCP.
  • 3+ years of experience writing complex SQL queries and stored procedures.
  • Experience with Generative AI Studio for prototyping generative AI models.
  • Familiarity with Google's Model Garden for accessing pre-trained GenAI models.
  • Diversity and inclusion initiatives
  • Equal Employment Opportunity policies
  • Accommodations for disabilities or religious observances
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