Google Cloud Platform - Data Architect / Engineer

Exusia, Inc.; Miami (FL); Remote; USD 105,000 - 145,000; Full time

Job summary

A global technology consulting firm seeks a Google Cloud Platform - Data Architect / Engineer to enhance Cloud practices and deliver data engineering solutions. This role requires over 8 years of experience in various Cloud platforms, with a strong focus on GCP and data pipelines. Ideal candidates possess a Master/Bachelor in Engineering and are skilled in ETL tools and data analytics. Responsibilities include architecting robust solutions and mentoring junior resources. Interested applicants should apply via [e-mail].

Qualifications

• 8+ years of experience working with various Cloud platforms.
• Minimum 4+ years of experience on GCP general architecture.
• Hands-on experience with ETL / Data Pipeline tools.

Responsibilities

• Work on client projects to Architect and deliver ETL processes.
• Build & Deploy scalable Data Engineering solutions.
• Take ownership of the SDLC cycle & all technical deliverables.

Skills

Cloud platforms experience

GCP general architecture

Data engineering

Problem-solving skills

Education

Master/Bachelor of Engineering or Equivalent

Tools

Cloud Composer

Dataflow

BigQuery

Firestore

Job description

## Google Cloud Platform - Data Architect / EngineerUnited States · Full-time · Intermediate#### About The Position**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: R**equired client travel or relocation.**Website**:**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.**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 resourcesMandatory 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 skillsNice-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 () 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: [e-mail]