Overview

We are seeking a Data Engineer that will be responsible for designing, building, and maintaining data pipelines and platforms that ensure reliable, high-quality data availability for analytics and Generative AI use cases.

We are building next-generation Generative AI products that deliver actionable data insights at enterprise scale. High-quality, reliable, and AI-ready data is foundational to our platform. Our data engineering team builds scalable data pipelines and platforms that power analytics, machine learning, and Generative AI systems.

Location: Bangalore, India (Hybrid; 3 days onsite/2 days remote)

What You ll Do:

- Design, build, and maintain scalable data ingestion, transformation, and enrichment pipelines

- Support batch and real-time data processing for analytics and AI workloads

- Ensure data quality, consistency, and availability across systems

- Enable AI-ready data by supporting feature stores, embeddings, and downstream consumers

- Collaborate with AI, analytics, and product teams to meet evolving data requirements

- Build and operate reliable data pipelines that support AI and analytics use cases

- Monitor data pipelines and proactively resolve data quality or performance issues





- Work with stakeholders to understand data requirements and deliver solutions

- Implement standards for data validation, documentation, and lineage

- Continuously improve data platform scalability and efficiency

What We re Looking For:

- Bachelor s or Master s degree in Computer Science, Engineering, or a related field

- 6 9 years of experience in data engineering or data platform roles

- Experience supporting analytics, ML, or AI-driven systems

- Exposure to large-scale, enterprise data environments is a plus

- Solid experience with data engineering and distributed data systems

- Hands-on experience with ETL/ELT pipelines and data transformation frameworks

- Experience working with cloud data platforms and data warehouses

- Knowledge of data quality, observability, and governance practices

- Proficiency in SQL and at least one programming language such as Python

Technical Skills Required:

Core Skills

- Python

- ETL / ELT pipelines

- Batch + event-driven processing

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (Karnataka)
🏢 Hycu
📍 Karnataka