Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.

We are looking for a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will work closely with Data Science, Engineering, and Product teams to ensure high-quality, reliable, and accessible data for analytics, machine learning, and business applications.

Roles And Responsibilities
Design, develop, and maintain scalable data pipelines for batch and real-time data processing
Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources
Develop and maintain data models, data warehouses, and data lakes
Ensure data quality, consistency, accuracy, and reliability across data pipelines
Optimize data processing workflows for performance, scalability, and cost efficiency




Work with large and complex datasets from multiple sources
Collaborate with Data Scientists and ML Engineers to prepare and deliver high-quality datasets for machine learning models
Develop data integrations with APIs, databases, cloud platforms, and third-party systems
Monitor data pipelines and troubleshoot data processing and infrastructure issues
Implement data validation, monitoring, and testing frameworks
Maintain transparent documentation of data pipelines, data models, and technical processes
Follow best practices for data security, governance, and access control
Contribute to the design and evolution of Hypersonix's data platform and architecture

Requirements
5–7 years of experience in Data Engineering or a similar role
Solid programming skills in Python or another programming language
Solid experience with SQL and relational databases
Hands-on experience building ETL/ELT pipelines and data

📌 Data Engineer Bengaluru
🏢 Hypersonix
📍 Bengaluru