Data Engineering Lead

Vrinda International; India; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Vrinda International is seeking an Data Engineering Lead in India to architect and oversee large‑scale data pipelines. You will drive data architecture and engineering initiatives, ensuring robust data integration and optimization across the organization.

The role demands mentoring a high‑performing team, managing complex stakeholder relationships, and delivering scalable data solutions that enable data‑driven decision making.

Qualifications

• 8+ years of experience in data engineering or related field.
• Strong SQL and Python for data manipulation and development.
• Deep understanding of data modeling and optimization strategies.
• Extensive experience building and managing ETL/ELT workflows and data integration.
• Ability to monitor data pipelines and troubleshoot effectively.
• Proven track record in stakeholder management and cross‑functional collaboration.
• Experience leading teams and conducting code reviews.

Responsibilities

• Design and implement enterprise‑scale data architecture strategies for analytics and operations.
• Develop and maintain efficient ETL/ELT processes for diverse systems.
• Construct and refine data models for performance and reliability.
• Establish monitoring protocols and proactively troubleshoot data pipelines.
• Mentor team members, review code, and foster technical excellence.
• Align data solutions with business objectives through stakeholder collaboration.
• Oversee deployment and optimization of large‑scale data pipelines as data volumes grow.

Skills

SQL

Python

Data modeling

ETL/ELT workflows

Stakeholder management

Mentoring teams

Job description

Job Description:

Summary

The Data Engineering Lead serves as a pivotal figure within the IT Services sector, responsible for architecting and overseeing the creation of robust, large-scale data pipelines. This role demands a strategic vision to drive data architecture and engineering initiatives while ensuring seamless data integration and optimization. The position is critical for enabling data-driven decision-making across the organization, requiring a professional who can balance technical depth with the ability to manage complex stakeholder relationships and mentor a high-performing team.

Responsibilities

• Design and implement comprehensive data architecture strategies to support enterprise-wide analytics and operational needs.
• Develop and maintain efficient ETL/ELT processes to facilitate smooth data integration across diverse systems.
• Construct and refine data models to ensure high performance, scalability, and reliability of data assets.
• Establish rigorous monitoring protocols for data pipelines, proactively identifying and resolving troubleshooting issues to minimize downtime.
• Lead team members through mentorship, conduct thorough code reviews, and foster a culture of technical excellence.
• Manage stakeholder expectations and collaborate with cross-functional teams to align data solutions with business objectives.
• Oversee the deployment and optimization of large-scale data pipelines to handle increasing data volumes effectively.

Requirements

• A minimum of 8 to 12 years of professional experience in data engineering or related technical fields.
• Proven expertise in SQL and Python for data manipulation, scripting, and application development.
• Deep understanding of data modeling techniques and strategies for data optimization.
• Strong background in building, deploying, and managing ETL/ELT workflows and data integration solutions.
• Demonstrated ability to monitor complex data pipelines and execute effective troubleshooting procedures.
• Exceptional stakeholder management skills with a track record of successful cross-departmental collaboration.
• Experience in leading teams, providing technical guidance, and conducting peer code reviews.
• Familiarity with the design and implementation of large-scale data infrastructure.