SENIOR MANAGER – DATA ENGINEERING

Vrinda International; Dadri; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Zoho is seeking a seasoned Senior Manager to lead Data Engineering within the IT Services sector. You will architect and oversee robust data infrastructure, ensuring seamless data flow through advanced pipelines while maintaining rigorous governance and quality standards.

The role leverages vector databases, LLM/RAG, and knowledge graphs to enable scalable BI and AI solutions. You will design governance frameworks, ETL/ELT pipelines, and SHACL/ShEx validation, and build scalable APIs and

Qualifications

• Over a decade of professional data engineering experience.
• Deep expertise in data governance and data quality management.
• Proven experience designing and deploying high-performance ETL/ELT pipelines.
• Experience implementing SHACL and ShEx for data validation.
• Strong background in APIs and microservices.
• Hands-on with vector databases and integrating LLM/RAG solutions.
• Experience with knowledge graphs, especially Neo4j.
• Proficiency in Python frameworks.
• Expertise in graph data modeling and schema design.

Responsibilities

• Design and implement data governance frameworks ensuring quality, integrity, and compliance.
• Architect and optimize ETL and ELT pipelines for data movement.
• Develop and maintain semantic web standards using SHACL and ShEx.
• Build scalable APIs and microservices to enable data access.
• Leverage vector databases and LLM/RAG to enable AI-driven insights.
• Construct and manage knowledge graphs with Neo4j.
• Lead graph data models and schemas for flexible storage.
• Utilize Python frameworks to automate data processing workflows.

Skills

data governance

data quality

ETL/ELT pipelines

SHACL and ShEx

APIs and microservices

vector databases

LLM/RAG

knowledge graphs

Neo4j

Python frameworks

graph data modeling

schema design

Tools

Neo4j

Job description

Job Description

Summary

We are seeking a seasoned Senior Manager to lead our Data Engineering initiatives within the IT Services sector. This pivotal role is responsible for architecting and overseeing robust data infrastructure, ensuring the seamless flow of information through advanced pipelines while maintaining rigorous data governance and quality standards. The successful candidate will drive innovation by integrating cutting-edge technologies such as vector databases, large language models, and knowledge graphs, thereby enabling scalable solutions that support critical business intelligence and artificial intelligence applications.

Responsibilities

• Design and implement comprehensive data governance frameworks to ensure high data quality, integrity, and compliance across the organization.
• Architect and optimize complex ETL and ELT pipelines to facilitate efficient data movement and transformation.
• Develop and maintain semantic web standards using SHACL and ShEx to validate data structures and relationships.
• Build and manage scalable APIs and microservices to support data accessibility and interoperability.
• Leverage vector databases and LLM/RAG technologies to enhance data retrieval and enable advanced AI-driven insights.
• Construct and manage knowledge graphs using tools like Neo4j to model complex relationships and domain-specific data.
• Lead the design of graph data models and schemas to support flexible and efficient data storage solutions.
• Utilize Python frameworks to develop custom data processing tools and automate engineering workflows.

Requirements

• Possess over a decade of professional experience in data engineering and related technical domains.
• Demonstrate deep expertise in data governance principles and data quality management strategies.
• Proven track record of designing and deploying high-performance ETL/ELT pipelines.
• Proficiency in implementing SHACL and ShEx standards for data validation.
• Strong background in developing APIs and microservices architectures.
• Hands-on experience with vector databases and integrating LLM/RAG solutions.
• Advanced skills in working with knowledge graphs, specifically Neo4j.
• Extensive programming knowledge of Python frameworks.
• Expertise in graph data modeling and schema design.