Software Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

Collaborate with cross-functional teams to design, build, and manage scalable data pipelines, data warehouses, and machine learning (ML) models
Analyze and visualize data, publish dashboards or data models, and contribute to the development of web services for Engineering Technologies portals and applications
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

Requirements:

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)

Nice to have:

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 offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
July 29, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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