Job Description

Software Engineer
This role has been designed as 'Hybrid' with an expectation 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.
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What you'll do:
As a member of the Decision Support Analytics (DSA) team, you will collaborate with cross-functional teams to design, build, and manage scalable data pipelines, data warehouses, and machine learning (ML) models. Your work will involve analyzing and visualizing data, publishing dashboards or data models, and contributing to the development of web services for Engineering Technologies portals and applications. This role requires strong coding abilities, presentation skills, and expertise in big data infrastructure.
The ideal candidate will have experience in end-to-end data generation processes, troubleshooting data/reporting issues, and recommending optimal data solutions. A keen attention to detail and proficiency with tools like Tableau and other data analysis platforms are essential.
Collaborate with internal stakeholders to gather requirements and understand business workflows.
Develop scalable data pipelines and ensure high-quality data flow and integrity.
Use advanced coding skills in languages such as SQL, Python, Java, or Scala to address business needs.
Leverage statistical methods to analyze data, generate actionable insights, and produce business reports.
Design meaningful visualizations using tools like Tableau, Power BI, or similar platforms for effective communication with stakeholders.
Implement or upgrade data analysis tools and assist in strategic decisions regarding new systems.
Build frameworks and automation tools to streamline data consumption and understanding.
Train end-users on new dashboards, reports, or tools.
Provide hands-on support for internal customers across various teams.
Ensure compliance with data governance policies and security standards.
What you need to bring:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven track record of working with large datasets in fast-paced environments.
Strong problem-solving skills with the ability to adapt to evolving technologies.
Typically 8+ years experience.
Data Engineering Tools & Frameworks:

• ETL tools such as Wherescape, Apache Airflow, or Azure Data Factory.
• Big Data technologies like Hadoop, Apache Spark, or Kafka.

Cloud Platforms:

• Proficiency in cloud services such as AWS, Azure, or Google Cloud Platform for storage, computing, and analytics.

Databases:

• Experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

Data Modeling & Architecture:

• Expertise in designing schemas for analytical use cases and optimizing storage mechanisms.

Machine Learning & Automation:

• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) for building predictive models.

Scripting & Automation:

• Advanced scripting for automation using Python/Scala/Java.

APIs & Web Services:

• Building RESTful APIs for seamless integration with internal/external systems.

Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)
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:
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Job: Engineering
Job Level: TCP_03
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: .
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.