Senior Data Engineer

As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work closely with Data Science, DevOps, and Customer Success teams to deploy and evolve our core platform - and your hands-on experience with production data will directly shape product decisions.

This is a high-ownership role. You will be expected to solve ambiguous problems, mentor junior engineers, and contribute to the technical direction of the team.

What You’ll Do

• Design, build, and maintain production-grade data pipelines handling large-scale supply chain datasets
• Own end-to-end data modeling, warehousing architecture, and pipeline reliability across multiple customer environments
• Collaborate with Data Science, DevOps, Infrastructure, and Customer Success teams to deliver and iterate on product deployments
• Debug complex pipeline failures and performance bottlenecks across distributed systems
• Drive improvements to engineering practices, tooling, and deployment automation
• Mentor and support junior data engineers, fostering technical growth within the team
• Contribute to Daybreak’s culture of continuous learning and operational excellence

• 5+ years of experience in data engineering, with demonstrated ownership of production pipelines
• Strong proficiency in Python for data engineering workloads
• Advanced SQL skills across multiple databases (PostgreSQL and others)
• Hands-on experience with pipeline orchestration tools such as Apache Airflow or Dagster
• Experience working with distributed data systems - Spark, Hive, or HDFS
• Solid understanding of containers and Docker in a development/deployment context
• Strong debugging skills and systematic approach to resolving data quality issues
• Bachelor’s or advanced degree in Computer Science, Engineering, or a related field
• Ability to thrive in a fast-paced, evolving environment and pick up new technologies quickly

Helpful to Have

• Cloud experience, preferably AWS (S3, EMR, or equivalent services)
• Experience processing large-scale time series data
• Familiarity with Kubernetes for containerized workloads
• Understanding of ML model lifecycle and MLOps pipelines
• Experience working in interdisciplinary teams across engineering and data science

Daybreak AI is building next-generation supply chain intelligence for the world’s most complex manufacturing and logistics operations. Our Data Engineers are the backbone of that mission - designing, building, and operating the data infrastructure that powers our AI products., Daybreak AI is an AI-first supply chain technology company backed by TPG Growth and Dell Technologies Capital. Our mission is to eliminate waste in the world’s most complex supply chains through intelligent, enterprise-grade AI software. We are a diverse, intellectually curious team that values collaboration, first-principles thinking, and real-world impact.