GCP Engineer

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AI Summary

Implement large-scale data ecosystems, leverage automation, and drive operational efficiency using Google Cloud Platform tools. Manage data, predict scenarios, and prescribe actions. Lead workstreams and provide As-a-Service offerings for continuous insights and improvements.

Key Highlights
Implement large-scale data ecosystems
Leverage automation, cognitive, and science-based techniques
Drive operational efficiency
Key Responsibilities
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 the data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements
Technical Skills Required
Google Cloud Platform (GCP) SQL Python Snowflake cloud data warehouse Databricks GCP Cloud Dataflow Spark Java Apache Kafka Stream
Benefits & Perks
Remote work
Travel opportunities
Limited immigration sponsorship
Nice to Have
Experience with Snowflake cloud data warehouse
Experience with Databricks
Experience with GCP Cloud Dataflow
Experience with Spark and Java
GCP Certifications
Experience with other leading commercial Cloud platforms, including Azure and AWS

Job Description


Role: GCP Engineer

Location: Remote + Travel

Duration: 6+ Months contract

Client: Deloitte

(Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve)

Key Responsibilities

•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 the data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:

• 5+ 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 (GCP) tools

• At least one FLC implementation using GCP toolset

• 2+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 GCP Cloud Dataflow highly preferred

• Experience with Spark and Java highly preferred

• Experience with GCP to include:

o Big Query

o Cloud Data Fusion,

o Cloud Pub/Sub

o Kubernetes

o Also, Apache Kafka and Stream

• GCP 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 is preferred


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