Technology Platform Engineer
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Technology Platform Engineer
Location
Pune
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
**Project Role :** Technology Platform Engineer
**Project Role Description :** Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
**Must have skills :** Data Engineering
**Good to have skills :** Google Cloud DevOps Services
Minimum **7.5** year(s) of experience is required
**Educational Qualification :** 15 years full time education
Summary:
As a Technology Platform Engineer, you will create and manage both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the creation and configuration of these environments, ensuring efficiency and reliability in the cloud infrastructure.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.
- Evaluate and implement best practices in data architecture to optimize data management processes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Experience with Google Cloud DevOps Services.
- Strong understanding of data modeling techniques and database design principles.
- Experience with ETL processes and data integration tools.
- Familiarity with cloud-based data storage solutions and architectures.
- Proficient in data governance and data quality management practices.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
**About Accenture**
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at [www.accenture.com](http://www.accenture.com/)
**Equal Employment Opportunity Statement**
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Key Responsibilities
- Create and manage production and non-production cloud environments.
- Deploy automation pipelines and automate environment creation and configuration.
- Collaborate with teams to perform tasks and make decisions.
- Provide solutions to problems for immediate and multiple teams.
- Facilitate knowledge sharing and mentoring within the team.
- Evaluate and implement best practices in data architecture to optimize data management processes.
Requirements
- 15 years full time education
Skills Required
Data EngineeringCloud InfrastructureAutomation PipelinesData ModelingDatabase DesignETL ProcessesData Integration ToolsCloud-based Data StorageData GovernanceData Quality ManagementCollaborationLeadershipProblem SolvingMentoringCommunicationGoogle Cloud DevOps Services
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