HPE Recruitment Drive; Hiring Data Engineer – Apply Now

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. Hewlett Packard Enterprise 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. HPE culture thrives on finding new and better ways to accelerate what’s next. Hewlett Packard Enterprise know diverse backgrounds are valued and succeed here. HPE have the flexibility to manage their work and personal needs. Hewlett Packard Enterprise make bold moves, together, and are a force for good. If you are looking to stretch and grow your career their culture will embrace you. Open up opportunities with HPE.

Name of the Organization: HPE

Requisition ID: 1162666

Positions: Data Engineer

Location: Bangalore

Salary: As per company Norms

Educational Qualifications:

• Bachelor's or Master's degree in Computer Science (or equivalent)
• 6-10 years of experience

Knowledge and Skills:

• Understanding of big data pipelines and distributed computing
• Hands-on experience in building or maintaining data solutions using Kafka/Spark/Hadoop/ArangoDB or similar technologies in public and hybrid cloud environments.
• Exposure to Visualization tools
• Basic statistical analysis analysis skills
• Experience working in any of the cloud computing environments such as AWS, Azure and GCP.
• Experience in one or more of programming/scripting languages such as Scala/Java/Python
• Exposure to Node.js, Kubernetes/Docker/Containers, Message queues, NoSQL Databases, Hadoop architecture, ElasticSearch, Cloud platforms (such as AWS Cloud, Azure, GCP, Data Center software) is a plus
• Experience in using CI/CD pipelines
• Good knowledge in Linux and shell scripting
• Good understanding of networking technologies and agile software development
• Ability to learn new technologies quickly
• Strong analytical thinking, logical reasoning and problem-solving skills
• Strong written and verbal communication skills

Additional Skills:

• Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

Job Description:

We are looking for Data Engineer who has strong passion in building and maintaining Big Data pipelines. This role provides opportunity to work on the latest technologies with the best talents in networking, big data, cloud infrastructure and data science.

Responsibilities:

• Understand the overall architecture of the data flow in the data pipeline
• Build and Maintain data pipelines for PoCs/Analytics/Data Science
• Prepare, maintain and optimize data using automation for easier consumption as per team's dynamic requirements
• Responsible for data reliability, efficiency, and quality
• Manage multiple cloud environments
• Research and Develop tools for cloud infrastructure
• Collaborate with other teams for data pipeline issues and resolution
• Flexible in timings to work with global teams
• Provide guidance and mentoring to less- experienced staff members

 

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