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Data Platform Engineer

Full Time
full-time
9 Nov 2025
Verified by Turrior

Content + Source + Freshness • 17 Dec 2025 • 95% confidence

78 / 100

Offer value

Moderate value level due to a promising field of data engineering, with specific technology focus that limits audience.

  • Essential role in data-driven decision-making
  • Potential for career growth in modern data engineering
  • Focus on advanced technologies like Spring Boot
  • Requires significant technical experience
Pros
  • Growing relevance of data platforms in decision making
  • Collaboration with diverse teams enhancing skills
  • Chance to work with modern technologies such as Spring Boot
Cons
  • May necessitate extensive hours for project completion
  • Technical skills specific to Spring Boot may narrow candidate pool
  • Potential for high-pressure work environment due to tight deadlines

Who it's for

Mid-level to Senior • Hybrid / office

Good fit
  • Experienced data engineers or developers
  • Individuals looking to advance in data platform technologies
  • Tech-savvy professionals eager to innovate
Not recommended for
  • Junior candidates new to data engineering
  • Candidates uninterested in continuous learning
  • Those preferring strictly managerial roles without technical involvement

Motivation fit

Desire to shape data-driven solutionsInterest in collaborative environmentsEagerness to engage with modern data technologies

Key skills

Proficiency in Spring BootAPI DevelopmentMicroservices ArchitectureCloud Technologies
Score: 78/100 AI verified analysis

About the job

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Spring Boot
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the project lifecycle, ensuring that the data platform meets the evolving needs of the organization and supports data-driven decision-making effectively. 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 sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot. - Strong understanding of microservices architecture. - Experience with RESTful API development. - Familiarity with cloud platforms such as AWS or Azure. - Knowledge of database technologies including SQL and NoSQL. Additional Information: - The candidate should have minimum 5 years of experience in Spring Boot. - This position is based in Hyderabad. - A 15 years full time education is required.

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End-to-end AI hiring for modern HR teams

Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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