Data Engineer

Hyqoo; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Hyqoo is seeking a senior data engineer to develop and maintain enterprise data pipelines across SAP, gLIMS, Veeva, and Batch Tracker. You will design Snowflake data models and storage tailored for AI analytics, while building API-driven, real-time integrations for agent workflows.

The role emphasizes data quality, governance, and monitoring to ensure compliant and scalable data assets. Collaboration with data scientists and IT teams is essential to align with business objectives.

Qualifications

• Bachelor's or master's degree in CS/IT/Engineering or related field.
• 6+ years hands-on data engineering focusing on AI and analytics infra.
• Experience with data modelling, ETL, and data quality governance.

Responsibilities

• Develop and maintain data pipelines across SAP, gLIMS, Veeva, MODA, AMPS, and Batch Tracker.
• Design and optimize Snowflake data models and storage for AI analytics.
• Build API and event-driven integrations for real-time workflows.
• Implement data quality, lineage, governance, and monitoring.
• Enable RAG solutions by curating governed data assets.
• Ensure secure, scalable, and compliant data solutions.
• Collaborate with data scientists, analysts, and IT to align efforts with business goals.

Skills

Data pipelines

Data modeling

ETL processes

Python

SQL

AWS cloud

Snowflake

API development

RAG data requirements

Data governance

Collaboration

Education

Bachelor's or Master's degree in Computer Science/IT/Engineering

Tools

Snowflake

AWS

APIs

Job description

• Develop and maintain robust data pipelines integrating multiple enterprise systems such as SAP, gLIMS, Veeva, MODA, AMPS, and Batch Tracker to ensure reliable data flow and accessibility.
• Design, implement, and optimize Snowflake data models and persistent storage solutions tailored for AI and advanced analytics use cases.
• Build and manage API and event-driven integrations to support real-time agent workflows and processing requirements.
• Implement comprehensive data quality management, data lineage tracking, governance frameworks, and continuous monitoring to maintain data integrity and compliance.
• Enable AI agents and Retrieval-Augmented Generation (RAG) solutions by curating trusted, accessible, and well-governed data assets.
• Ensure all data solutions are secure, scalable, and compliant with organizational policies and industry regulations.
• Collaborate with cross-functional teams including data scientists, analysts, and IT to align data engineering efforts with business objectives.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 6+ years of hands-on experience in data engineering, with a focus on AI and analytics data infrastructure.
• Proven expertise in Data Modelling, data pipeline development, and ETL processes.
• Strong programming skills in Python for data processing and automation tasks.
• Proficiency in writing and optimizing complex SQL queries.
• Extensive experience working with cloud platforms, especially AWS, including services related to data storage, processing, and security.
• Hands-on experience with Snowflake for data warehousing and scalable data storage solutions.
• Familiarity with API development and event-driven architecture to support real-time data workflows.
• Knowledge of RAG (Retrieval-Augmented Generation) techniques and their data requirements is highly desirable.
• Strong understanding of data governance, data quality frameworks, and compliance standards.
• Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a fast-paced environment.