Cloud Analytics Consultant — Data Platform Architect

Google

Singapore

On-site

SGD 120,000 - 170,000

Full time

3 days ago
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Job summary

Google Cloud Consulting Professional Services in Singapore seeks a Cloud Consultant for Big Data and Analytics to deliver analytics solutions on Google Cloud. You will work with customers to transform their business using Google’s data platforms and infrastructure, collaborating with executives and technical leads to deploy impactful analytics projects.

You will guide architectures, lead data pipeline designs, and mentor junior team members while advocating for customer needs to drive adoption

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with customer-facing design and deployment of distributed data processing systems.
  • Experience with SQL databases and NoSQL databases.
  • Experience with data modeling for OLAP/OLTP and modern data warehouses.

Responsibilities

  • Manage and deliver cloud data and analytics implementations with stakeholders.
  • Propose architectures and deployment plans for cloud-based analytics solutions.
  • Advocate for customer needs to overcome adoption blockers and drive feature development.
  • Interact with sales, partners, and technical stakeholders to manage scope, priorities, and timelines.

Skills

SQL databases
NoSQL databases
Data modeling (OLAP/OLTP)
Distributed data processing
Customer-facing consulting
Java
Python
NodeJS
Golang
JavaScript

Education

Bachelor's degree or equivalent practical experience

Tools

SQL Server
MySQL
PostgreSQL
MongoDB
Cassandra
Redis
Hadoop
Spark
Flink
Kafka
Druid
Hive
HBase
Vertica
Teradata

Job description

Google Cloud Consulting Professional Services in Singapore seeks a Cloud Consultant for Big Data and Analytics to deliver analytics solutions on Google Cloud. You will work with customers to transform their business using Google’s data platforms and infrastructure, collaborating with executives and technical leads to deploy impactful analytics projects.

You will guide architectures, lead data pipeline designs, and mentor junior team members while advocating for customer needs to drive adoption

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