Google Cloud Platform - Data Architect / Engineer

2 Weeks ago • 8 Years + • DevOps

Job Summary

Job Description

Exusia seeks a Google Cloud Platform (GCP) Senior Data Architect/Engineer to deliver AI, Data & Analytics solutions. Responsibilities include architecting robust ETL processes, data pipelines, and analytics solutions; providing technical leadership; owning the SDLC; designing data pipelines for structured/unstructured data; collaborating with delivery leadership; contributing to cloud practice growth; and mentoring junior resources. The ideal candidate possesses 8+ years of experience with cloud platforms, including 4+ years on GCP, and expertise in data engineering, BI, and ML using GCP services like BigQuery, Dataflow, and Dataproc.
Must have:
  • 8+ years cloud experience
  • 4+ years GCP experience (3 end-to-end projects)
  • GCP data engineering, BI, or ML experience
  • ETL/Data Pipeline tools (Composer, Data Fusion)
  • BigQuery, Datalab experience
  • BigTable, Datastore, Firestore, Memorystore experience
  • Cloud infrastructure & architecture leadership
  • Project ownership & SDLC expertise
Good to have:
  • GCP AI & ML services experience
  • GCP network services knowledge
  • AWS and Azure experience

Job Details

Description

Department:                          Sales and Delivery Team – Empower

Industry:                                Information Technology & Services, Computer Software, Management Consulting

Location:                               United States (Work From Home) + some client travel

Experience Range:              8+ years

Basic Qualification:             Master/Bachelor of Engineering or Equivalent

Travel Requirements:          Required client travel or relocation.

Website:                                    www.exusia.com

 

Exusia, a cutting-edge digital transformation consultancy, seeks Google Cloud Platform Architect/Developer to join our global delivery team’s Data Engineering & Analytics practice in the United States.


What’s the Role?

The GCP - Senior Data Architect / Engineer role will be part of our AI, Data & Cloud practice and will be focused on delivering best of breed AI, Data & Analytics solutions based on Google Cloud Platform for Exusia’ s clients. 

The candidate will also be part of the AI, Data & Cloud practice teams and contribute to competency development & driving innovation through various internal initiatives within the company across the 3 major cloud platforms – GCP, AWS & AZURE. Candidate should have more than 5 years of cloud experience with at least 3 years on GCP architecting, designing and building data lakes /data warehouses / data pipelines / AI & ML solutions using GCP services.



Requirements

Criteria for the Role!

Responsibilities:

  • Work on client projects to Architect and deliver robust ETL processes / Data Pipelines / Data Analytics
  • Architect, Build & Deploy scalable Data Engineering & Analytics solutions
  • Provide hands on technical leadership for relevant technical skills on multiple projects if required
  • Take complete ownership of the SDLC cycle & own all technical deliverables
  • Design data pipelines to ingest & integrate structured/unstructured data from heterogeneous sources
  • Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
  • Contribute to the growth of the Cloud practice by helping with solutioning for prospects
  • Providing mentorship to junior resources

Mandatory Skills:

  • Should have 8+ years of experience working with various Cloud platforms
  • Minimum 4+ years of experience on GCP general architecture with at least 3 end to end projects
  • Knowledge in Infrastructure and application Migrations from on premise to GCP
  • Hands on experience working on GCP Cloud projects in the areas of data engineering, Business Intelligence or Machine Learning is mandatory
  • Ability to lead a technical solution discussion on the cloud infrastructure and architecture
  • Responsible for design setting up of new GCP cloud environments, Sizing and managing deployments
  • 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
  • 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
  • Problem-solving skills along with good interpersonal & communication skills

Nice-to-Have Skills

  • Exposure to GCP AI & ML related services is an advantage
  • Exposure to Network services like Cloud CDN / DNS / IDS / NAT / Interconnect / VPN / VPC etc
  • Understanding of comparative offerings from AWS and Azure will be a big plus


About Exusia

Exusia (http://exusia.com/) is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world's largest and most complex data problems in the financial, healthcare, telecommunications and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia, Africa and UK. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and its entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in Pune, Hyderabad, Bengaluru and Gurugram, India.

Interested applicants should apply by forwarding their CV to: elevate@exusia.com

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About The Company

Hyderabad, Telangana, India (Remote)

United States (Remote)

Hyderabad, Telangana, India (Remote)

Hyderabad, Telangana, India (Remote)

Hyderabad, Telangana, India (Remote)

Hyderabad, Telangana, India (Remote)

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