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Cloud Developer / Data Engineer

Bengaluru, Karnātaka, India

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • 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

From the employer’s posting
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.

Tools in this posting

  • Java
  • Python
  • Scala
  • Shell
  • AWS
  • Azure
  • ClickHouse
  • Docker
  • Elasticsearch
  • GCP
  • Kafka
  • Kubernetes
  • NoSQL
  • Spark
Source — Tool mentions in context
- Experience with AWS, Azure, or GCP. - Proficiency in Python, Java, or Scala. - Knowledge of Linux, Shell Scripting, CI/CD, and distributed systems.
- Proficiency in Python, Java, or Scala. - Knowledge of Linux, Shell Scripting, CI/CD, and distributed systems. - Exposure to Kubernetes, Docker, NoSQL databases, Message Queues, Elasticsearch, and visualisation tools.
- Strong hands-on experience with Kafka, Spark, ClickHouse, ArangoDB, or similar technologies. - Experience with AWS, Azure, or GCP. - Proficiency in Python, Java, or Scala.
- 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.
- Knowledge of Linux, Shell Scripting, CI/CD, and distributed systems. - Exposure to Kubernetes, Docker, NoSQL databases, Message Queues, Elasticsearch, and visualisation tools. - Understanding of Generative AI and Agentic AI concepts is a plus.

About HPE

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 13, 2026 · 14 days ago
Recorded sightings
58
Last seen by us
Oct 27, 2026

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Job description

View original posting ↗

Cloud Developer / Data Engineer

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   


Passionate about Cloud, Big Data, and AI? Join our team to build scalable data platforms and cloud-native solutions that power analytics, data science, and next-generation 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 We're Looking For

  • 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.
  • Exposure to Kubernetes, Docker, NoSQL databases, Message Queues, Elasticsearch, and visualisation tools.
  • Understanding of Generative AI and Agentic AI concepts is a plus.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's or Master's degree in Computer Science or a related discipline.

Accessibility


HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.


Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#india

#networking

Job:

Engineering

Job Level:

TCP_01

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Source details

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Pay

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Location & working pattern

Bengaluru, Karnātaka, India

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