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 recent 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 clear 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

- Strong programming skills in Python or another programming language

- Strong experience with SQL and relational databases

- Hands-on experience building ETL/ELT pipelines and data workflows

- Experience with data processing technologies such as Spark/PySpark

- Experience working with cloud platforms such as AWS, Azure, or GCP

- Good understanding of data warehousing and data lake concepts

- Experience with workflow orchestration tools such as Airflow, Dagster, or similar

- Experience working with distributed systems and large-scale datasets

- Strong understanding of data modeling, database design, and performance optimization

- Familiarity with Git and CI/CD practices

- Good understanding of software engineering principles and coding best practices

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📌 Data Engineer - India (Remote) (Bengaluru)
🏢 Hypersonix
📍 Bengaluru