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Gcp Data Architect

2 months ago

Gurgaon, India Cognizant Full time

**for GCP Data Architect**:

- Architect, Build & Deploy scalable Data Engineering & Analytics solutions in GCP
- Design and development of large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, Big Query, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM
- Mentor and provide technical oversight and guidance to implementation teams while working in a coordinated manner to deliver and deploy the designed architecture
- Deploy the data pipeline following data governance and data security requirements, and implement it with the data quality check on Google Cloud Platform
- Create and deliver best practices recommendations for On Prem to Cloud or Cloud Native solutions in GCP
- Design and creation of data led strategies which provide clients with opportunities to leverage their data for greater insight or performance.
- Work with customer technical leads, customer executives, and partners to manage and deliver
- successful implementations of cloud solutions; become a trusted advisor to decision makers throughout the engagement.

**Skills Required**:

- Minimum 2- years of experience on GCP general architecture with at least 2 end to end projects
- Hands on experience working on GCP Cloud projects in the areas of data engineering, Business Intelligence or Machine Learning is mandatory
- Experience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTable
- Must have handled projects using ETL / Data Pipeline and Orchestration tools - Cloud composer, Cloud data fusion, Dataflow and Dataproc
- Must have exposure to Data Analytics & Querying services like BigQuery, Datalab
- Must have hands on experience on Big Table, Datastore, Firestore and Memorystore
- Experience with any of the Configuration Management (Cloud shell, Jenkins, Ansible).
- Experience with managed code or scripting competency (PowerShell, Python, JSON, and YML).
- Should have exposure to following general GCP services
- Storage - Cloud storage, Persistent disk, Cloud filestore
- Compute - App Engine, Compute Engine and VMware Engine
- Developer & Productivity tools - Artifact & Container Registry, Cloud source repositories
- Exposure to GCP AI & ML related services is an advantage
- Certified Professional Cloud Architect & Official Google Data Engineer Certification is beneficial

**Benefits**:

- Exposure to new processes and technologies.
- Competitive salary at par with the best in the industry.
- Flexible and employee friendly environment.

**Employee Status **:Full Time Employee

**Shift **:Day Job

**Travel **:No

**Job Posting **:Apr 25 2023

**About Cognizant

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