Level

Hewlett Packard Enterprise

Data Engineer & Full Stack Developer

Hewlett Packard Enterprise is hiring a Data Engineer & Full Stack Developer in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Design and develop E2E applications, data pipelines, and full-stack web solutions for corporate finance digital transformation.

databricksetlsql
Data Engineer & Full Stack Developer

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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:

   

In the Finance and Corporate Strategy team we ensure that the business’s capital strategies are operationally supported and strategically focused. This is how we work to secure the greatest return on investment for the global company. By gathering and analysing financial data we can influence decisions within the business, drive initiatives, and help ensure alignment with our wider objectives. Join us redefine what’s next for you.


Job Family Definition:

Designs, develops, troubleshoots and debugs E2E applications for Finance Digital transformation.


Management Level Definition:

Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.


What you’ll do:

Responsibilities:

  • Data engineering: Design, develop, test, and maintain batch and real-time ETL/ELT pipelines across structured and unstructured data sources.
  • Data platforms: Build and optimise data lakes, warehouses, lakehouses, schemas, and curated data sets for analytics and operational use.
  • Full-stack delivery: Develop responsive web applications using modern front-end frameworks and scalable back-end services.
  • Performance and security: Improve application, query, and pipeline performance while following secure coding and privacy standards.
  • Collaboration: Partner with product owners, architects, analysts, data scientists, designers, and business stakeholders in an Agile environment.
  • Operations: Troubleshoot incidents, perform root-cause analysis, document solutions, and continuously improve platform reliability.

What you need to bring:

Education and Experience Required:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
  • Typically 2-4 years experience.

Knowledge and Skills:

  • Using software systems design tools and languages.
  • Ability to apply analytical and problem solving skills.
  • 5+ years of software or data engineering experience, including meaningful ownership across both data and application layers.
  • Strong proficiency in Python and SQL, plus Java, C#, or Node.js/TypeScript for back-end development.
  • Hands-on experience with React or Angular, HTML, CSS, JavaScript/TypeScript, and responsive UI development.
  • Experience building ETL/ELT solutions with tools such as Apache Spark, Databricks, Airflow, dbt, Kafka, or comparable services.
  • Strong knowledge of relational and NoSQL databases, data modelling, query optimisation, and distributed systems.
  • Experience with Azure, AWS, or Google Cloud, including storage, compute, identity, serverless, and managed data services.
  • Practical knowledge of Git, automated testing, containers, CI/CD, logging, monitoring, and infrastructure-as-code.
  • Understanding of authentication, authorisation, encryption, secrets management, secure APIs, and data privacy controls.
  • Strong written and verbal communication skills; mastery in English and local language. Ability to effectively communicate design proposals and negotiate options.

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

Job:

Engineering

Job Level:

TCP_02

    

    

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.

How we rate this

Data Engineer & Full Stack Developer at Hewlett Packard Enterprise rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

DatabricksETLSQL

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Walk me through how you've used ETL in your day-to-day work.
  3. What are the limits of SQL that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: Databricks, ETL, and SQL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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