Cloud Data Architect

3 days ago

Bengaluru, Karnataka, India beBeeCloudDataStrategist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Cloud Data Strategist

Overview

The ideal candidate will be responsible for designing, implementing, and maintaining large-scale data processing systems on Google Cloud Platform.

Key Responsibilities:
  • Develop and maintain complex data pipelines using Google Cloud Dataflow, Cloud Pub/Sub, and Bigtable
  • Collaborate with cross-functional teams to integrate data into business applications
  • Implement data governance, security, and compliance standards
Requirements
  • 7+ years of experience in big data and data architecture
  • Strong experience in data modeling, design, architecting, and solutioning
  • Good Python skills and experience with data visualization tools like Google Data Studio or Power BI
  • Knowledge in A/B Testing, Statistics, Agile Development, DevOps, Date Engineering, ETL Data Processing
  • Strong migration experience of production Hadoop Cluster to Google Cloud
Preferred Qualifications
  • Expert in Big Query, Dataproc, Data Fusion, Dataflow, Bigtable, Fire Store, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer, Cloud Interconnect

As a cloud data strategist, you will play a key role in driving the adoption of Google Cloud Platform within our organization. You will work closely with cross-functional teams to design, implement, and maintain large-scale data processing systems that meet the needs of our business.

You will be responsible for developing and maintaining complex data pipelines using Google Cloud Dataflow, Cloud Pub/Sub, and Bigtable. You will also collaborate with cross-functional teams to integrate data into business applications and implement data governance, security, and compliance standards.

To be successful in this role, you will need to have 7+ years of experience in big data and data architecture. You will also need to have strong experience in data modeling, design, architecting, and solutioning, as well as good Python skills and experience with data visualization tools like Google Data Studio or Power BI.

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