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VRINDA INTERNATIONAL
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Delhi · On-site · ₹17 LPA · 4-7 Yrs · Oct 22
18 open roles3 posted in 7d18 in 30d
Hiring: Engineering, Human resources, Customer support and operations
Job description
Overview
Company: Vrinda International Job Location: New Delhi, Delhi, India Employment Type: Full-time Experience Required: 4 - 7 years
Responsibilities
- Design, develop, and deploy scalable data pipelines and integration solutions across major cloud platforms including AWS, Azure, or GCP. Execute complex data transformation processes to convert raw data into usable formats for analysis and reporting.
- Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets.
Qualifications
- Design, develop, and deploy scalable data pipelines and integration solutions across major cloud platforms including AWS, Azure, or GCP.
- Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets.
- Optimize database queries and data models to enhance system performance and reduce latency.
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Data Engineer (IT) at VRINDA INTERNATIONAL?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. VRINDA INTERNATIONAL may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (IT) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (IT) remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (IT) role at VRINDA INTERNATIONAL?
- This is a mid-level Data Engineer (IT) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.