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Data Engineer

Full Time
full-time
23 Aug 2025
Verified by Turrior

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

80 / 100

Offer value

The position offers high value due to its demand for specific skills like Microsoft Azure and significant career growth potential within a reputable company.

  • Requires expertise in Microsoft Azure Databricks.
  • Strong potential for professional development.
  • Engagement in diverse data projects.
Pros
  • Strong market relevance for Azure skills.
  • Opportunity for mentorship and collaboration.
  • Diverse project involvement enhancing skill set.
Cons
  • High experience requirements may limit applicant pool.
  • Potentially high workload and stress levels.
  • Possibility of limited remote work options.

Who it's for

Mid to Senior Level • On-site

Good fit
  • Experienced data engineers focused on Azure technologies.
  • Tech-savvy professionals with data pipeline skills.
  • Candidates looking for career advancement in data roles.
Not recommended for
  • Beginner engineers with no Azure experience.
  • Job seekers preferring full remote setups.
  • Individuals averse to team leadership roles.

Motivation fit

Desire to innovate in data solutions.Interest in continuous learning and improvement of data processes.Readiness to take on leadership responsibilities.

Key skills

Data pipeline developmentETL processesAzure technologiesMentorship and team collaboration
Score: 80/100 AI verified analysis

About the job

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. 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. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Pune office. - 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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