DATA ENGINEER

Vrinda International; New Delhi; On-site; INR 1,700,000 - 1,950,000; Full time

Job summary

Vrinda International in New Delhi invites a skilled Data Engineer to design and maintain robust data infrastructure across AWS, Azure, and GCP. You will build scalable ETL/ELT pipelines, optimize queries, and ensure data quality to enable analytics for strategic decision-making within our IT Services team.

Located in New Delhi, India, the role offers a competitive salary package and opportunities to work with cutting-edge cloud data technologies.

Qualifications

• 4–7 years of data engineering experience in IT services.
• Hands-on with AWS, Azure or Google Cloud platforms.
• Strong skills in ETL/ELT, data integration, and data modeling.
• Ability to optimize queries and design scalable data solutions.

Responsibilities

• Design, build, and orchestrate scalable data pipelines across cloud platforms.
• Transform data into usable formats for reporting and analysis.
• Implement data quality frameworks to ensure data integrity.
• Optimize data models and queries for performance and latency.
• Develop end-to-end ETL/ELT workflows and monitor data movement.
• Evolve data architecture to meet growing business analytics needs.

Skills

AWS

Azure

GCP

ETL/ELT

Data modeling

Data integration

Query optimization

Data pipelines

Cloud architecture

Job description

New Delhi–NCR, India | Posted on 10/16/2026

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Job Description

Role Overview

We are seeking a highly skilled Data Engineer to join our IT Services division. In this pivotal role, you will be responsible for architecting, building, and maintaining robust data infrastructure that empowers our organization to leverage its data assets effectively. You will play a critical part in ensuring data accuracy, accessibility, and efficiency across our cloud environments, directly supporting strategic decision-making and operational excellence.

Key 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.
• Optimize database queries and data models to enhance system performance and reduce latency.
• Engineer end-to-end ETL and ELT workflows to facilitate seamless data movement between diverse sources and destinations.
• Continuously improve data architecture to support growing business needs and emerging analytical requirements.

Qualifications and Skills

• Possess 4 to 7 years of professional experience in data engineering within the IT Services sector.
• Demonstrated expertise in working with cloud-based data platforms (AWS, Azure, or GCP).
• Proficiency in developing and managing data integration, transformation, and pipeline monitoring tools.
• Strong command of query optimization techniques and advanced data modeling principles.
• Proven track record in building and maintaining ETL/ELT processes and data pipelines.
• Ability to translate business requirements into technical data solutions with a focus on scalability and performance.

Compensation

• Competitive annual salary package of ₹17 LPA.