GCP Cloud Analytics Engineer - Senior Consultant

Join Deloitte's AI & Data team as a Senior GCP Cloud Analytics Engineer, shaping large-scale data ecosystems and cloud-based analytics solutions for clients. You will drive data-driven decision making by integrating structured and unstructured data on Google Cloud Platform, applying automation and cognitive techniques to derive actionable insights. This onsite role in Morristown, NJ collaborates with cross-functional teams to deliver enterprise-scale analytics outcomes.

Job Details

• Location: Morristown, NJ (onsite)
• Salary: USD 136,700 - 188,900 per year
• Minimum experience: 1 year
• Education: Bachelor's Degree

Responsibilities

• Design and maintain large-scale data ecosystems, covering data management, governance, and the integration of structured and unstructured data to generate insights on cloud platforms.
• Apply automation, cognitive techniques, and data science methods to manage data, forecast scenarios, and prescribe actions.
• Enhance operational efficiency by sustaining data ecosystems, sourcing analytics expertise, and delivering As-a-Service offerings for ongoing insights and improvements.

Requirements

• 5+ years of relevant technology consulting or industry experience with the ability to contribute to end-to-end architecture and solution overviews using Google Cloud Platform tools.
• At least one FLC implementation using the GCP toolset.
• 2+ years of experience with SQL and Python.
• 1+ years of 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 you serve.
• Limited immigration sponsorship may be available.

Technologies

• Google Cloud Platform (GCP) tools including BigQuery, Cloud Data Fusion, Cloud DataFlow, and Cloud Pub/Sub
• Snowflake
• Databricks
• Spark
• Java
• Kubernetes
• Apache Kafka
• Striim
• SQL
• Python
• MS PowerPoint
• Azure
• AWS

Benefits

• Discretionary annual incentive program

The Team

• AI & Data
• In this era of disruption, organizations rely on data-driven decisions to create enterprise value in a dynamic market.
• The AI & Data team leverages data, analytics, robotics, science and cognitive technologies to uncover relationships, generate insights, and inform decision-making. In partnership with Strategy, the Practice helps clients transform by building intelligence programs and differentiated strategies to win in their markets.

AI&D 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 using cloud platforms.
• Leverage automation, cognitive approaches, and science-based techniques to manage data, predict scenarios, and prescribe actions.
• Drive operational efficiency by maintaining data ecosystems, sourcing analytics expertise, and delivering As-a-Service offerings for ongoing insights and improvements.

Preferred

• Snowflake cloud data warehouse
• Databricks
• GCP Cloud DataFlow strongly preferred
• Spark and Java strongly preferred
• GCP services including BigQuery
• Cloud Data Fusion
• Cloud Pub/Sub
• Kubernetes
• Apache Kafka and Striim
• GCP Certifications
• Experience with Azure and AWS
• Strong oral and written communication skills, including PowerPoint
• Ability to create client workshop collateral
• Strong problem solving and troubleshooting abilities
• Advanced degree in the area of specialization is preferred