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.

RequirementsRequirements:

- A minimum of 8 to 12 years of qualified 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.

📌 DATA ENGINEERING LEAD (India)
🏢 Vrinda International
📍 India