Cloud Developer / Data Engineer

Overview

Build scalable data platforms and cloud-native solutions that power analytics, data science, and AI applications.

What you'll do

• Design, build, and maintain scalable data pipelines and cloud solutions.
• Develop automated data ingestion, processing, and optimisation workflows.
• Ensure data quality, reliability, and performance.
• Collaborate with cross-functional teams to solve complex data challenges.
• Evaluate and implement new technologies to enhance platform capabilities.

What you'll need

• 2–4 years of experience in Data Engineering, Cloud Development, or a related field.
• Strong hands-on experience with Kafka, Spark, ClickHouse, ArangoDB, or similar technologies.
• Experience with AWS, Azure, or GCP.
• Proficiency in Python, Java, or Scala.
• Knowledge of Linux, Shell Scripting, CI/CD, and distributed systems.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's or Master's degree in Computer Science or a related discipline.

Nice to have

• Exposure to Kubernetes, Docker, NoSQL databases, Message Queues, Elasticsearch, and visualisation tools.
• Understanding of Generative AI and Agentic AI concepts.

Details

• Onsite role, expected to work primarily from an HPE office.
• Location: Bengaluru, Karnātaka, India.