Google Cloud Platform Cloud Analytics Data Engineer - Sr Consultant

Full Time

  • No Travel Required

Job Description

The Team

AI & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data Engineering (AI&DE) team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI&DE will work with our clients to:

  • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
  • Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
  • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements


Qualifications

Required:

  • 3+ years of relevant technology consulting or industry experience with ability to contribute to an end-to-end architecture and solution overview using Google Cloud Platform (Google Cloud Platform) tools
  • At least one FLC implementation using Google Cloud Platform toolset
  • 1+years experience with SQL and Python
  • 1+ years experience leading workstreams within complex technology engagements with resources in multiple locations
  • Bachelor's Degree or equivalent professional experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred:

  • Experience with Snowflake cloud data warehouse
  • Experience with Databricks
  • Experience with Google Cloud Platform Cloud DataFlow highly preferred
  • Experience with Spark and Java highly preferred
  • Experience with Google Cloud Platform to include:
    • BigQuery
    • Cloud Data Fusion,
    • Cloud Pub/Sub
    • Kubernetes
    • Also, Apache Kafka and Striim
  • Google Cloud Platform Certifications
  • Experience with other leading commercial Cloud platforms, including Azure and AWS
  • Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint)
  • Ability to create critical collaterals for client workshops and customer interactive sessions
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
  • An advanced degree in the area of specialization


AI&DE23