GCP Cloud Analytics Engineer

Deloitte•Tampa, FL
•$116,200 - $229,100•Hybrid

About The Position

Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and business transformation. This role offers the opportunity to work across complex data environments, cloud platforms, and large-scale transformation efforts to deliver measurable outcomes for clients.

Requirements

  • 5+ years of technology consulting or industry experience contributing to end-to-end architecture and solution design using Google Cloud Platform tools
  • 1+ full lifecycle implementation using a Google Cloud Platform toolset
  • 2+ years of experience with SQL and Python
  • 1+ years of experience leading workstreams within technology engagements with resources in multiple locations
  • Bachelor’s degree or equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Nice To Haves

  • Experience with Snowflake and Databricks
  • Experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Data Fusion, Cloud Pub/Sub, and Kubernetes
  • Experience with Spark, Java, Apache Kafka, and Striim
  • Experience with other cloud platforms, including Microsoft Azure and Amazon Web Services
  • Google Cloud Platform certifications
  • Advanced degree in a technical or analytical field

Responsibilities

  • Designing and contributing to end-to-end cloud analytics architectures using Google Cloud Platform services
  • Supporting full lifecycle implementations across data ingestion, transformation, governance, and analytics enablement
  • Developing and optimizing cloud-based data solutions using structured and unstructured data sources
  • Using automation and analytics techniques to help clients improve insight generation, decision-making, and operational efficiency
  • Leading portions of complex technology engagements and coordinating delivery across teams in multiple locations

Benefits

  • Professional development
  • Opportunities to build new skills
  • Leadership opportunities
  • Mentorship
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