AI Data Engineer at Hewlett Packard Enterprise

San Juan, San Juan, Puerto Rico

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Master's Degree in Computer Science, Information Systems, or equivalent (Bachelor's degree may be considered if candidate demonstrates exceptional abilities)
At least 4 years of work experience in relevant technologies
2+ years programming experience in Python
1+ years programming experience in Java
Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
Experience developing applications in Cloud computing environments such as AWS with at least 2 years of relevant experience

Responsibilities

Application design and development in streaming or batch mode over Kafka and Spark
Evaluate and implement new technologies and tools to improve efficiency and reduce cost
Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
Build CI/CD pipelines
Work with SMEs and data scientists to increase accuracy of actionable insights

Skills

Python

Java

Apache Spark

Kafka

CI/CD

Containerization

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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