Google Cloud Platform - Senior Data Engineer
Job Summary
Job Description
The GCP - Senior Data Engineer will join Exusia's AI, Data & Cloud practice, focusing on delivering best-of-breed AI, Data & Analytics solutions using Google Cloud Platform for clients. This role involves contributing to competency development and driving innovation across GCP, AWS, and Azure. Candidates need over 5 years of cloud experience, with at least 3 years on GCP, architecting, designing, and building data lakes, data warehouses, data pipelines, and AI/ML solutions.
Must have:
- 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
- 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 quality standards
- Contribute to the growth of the Cloud practice by helping with solutioning for prospects
- Providing mentorship to junior resources
- 5+ years experience with various Cloud platforms
- Minimum 3 years experience on GCP general architecture with at least 2 end to end projects
- Knowledge in Infrastructure and application Migrations from on premise to GCP
- Hands on experience working on GCP Cloud projects in data engineering, Business Intelligence or Machine Learning
- Ability to lead a technical solution discussion on cloud infrastructure and architecture
- Responsible for design setting up of new GCP cloud environments, Sizing and managing deployments
- Handled projects using ETL / Data Pipeline and Orchestration tools – Cloud composer, Cloud data fusion, Dataflow and Dataproc
- Exposure to Data Analytics & Querying services like BigQuery, Datalab
- Hands on experience on Big Table, Datastore, Firestore and Memorystore
- Exposure to general GCP services: Cloud storage, Persistent disk, Cloud filestore, App Engine, Compute Engine and VMware Engine
- Exposure to Developer & Productivity tools: Artifact & Container Registry, Cloud source repositories
- Problem-solving skills along with good interpersonal & communication skills
Good to have:
- Exposure to GCP AI & ML related services
- Exposure to Network services like Cloud CDN / DNS / IDS / NAT / Interconnect / VPN / VPC etc
- Understanding of comparative offerings from AWS and Azure
11 skills required
Job Details
Description
Department: Sales and Delivery Team – Empower
Industry: Information Technology & Services, Computer Software, Management Consulting
Experience Range: 5+ years
Basic Qualification: Master/Bachelor of Engineering or Equivalent
Travel Requirements: Not required
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 India.
What’s the Role?
The GCP - Senior Data 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 5+ years of experience working with various Cloud platforms
- Minimum 3 years of experience on GCP general architecture with at least 2 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
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About The Company
Exusia (ex-OO-see-ah), A Globant Division has the mission of transforming the world through the innovative use of information. Exusia is an ISO 27001 certified technology solutions company that empowers its clients to gain a competitive edge by accelerating business objectives and providing solutions in artificial intelligence, cloud computing, data engineering and digital transformation. Exusia is a leader in end-to-end data strategy, execution and managed services offerings, leveraging its team of business strategy, analytics and data engineering experts along with cutting edge hosted software as a service accelerators to deliver to clients. Exusia was founded in 2012 and now provides services in IT Strategy, AI Enablement, Data Governance, Data Engineering, Cloud Migration and Mainframe Modernization to the Globant client base as apart of the Data & Artificial Intelligence Studio. Globant has over 30,000 employees providing services to clients in 34 countries across world.
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