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This role has been designated as ‘Edge’, which means you will primarily work outside of an HPE office.

Job Description:

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 diverse 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.

Senior Data Engineer

Are you looking to take your technical career to the next level?

We have a brand-new opportunity for a Senior Data Engineer who is bright, driven, customer focused professional to join our HPE’s Ezmeral Software Services Organization.

Data Engineers are responsible for delivering a variety of engineering services to customers world-wide. Assignments will vary based on the candidate’s skills and experience. Typical assignments may involve cluster installation, ETL, solution design and application development, platform services. Our growing customer base includes most of the Fortune 50 companies which makes the work assignments technically challenging yet rewarding. This role provides a significant opportunity to learn and apply big data technologies and solve related complex problems. Data Engineers report to the Ezmeral Global Delivery Manager.

We offer you extensive training in the Ezmeral products i.e., Data Fabric and Unified Analytics Software, working closely with Product Engineering to enable you to become a SME working closely with the Customer and the Advisory and Professional Services (A&PS) delivery team.

How You'll Make Your Mark:

• Master the Ezmeral Data Fabric and Container Platform, including MapR-FS, MapR-DB Binary and JSON Tables, MapR-Streams, Kubernetes and Eco-System products and maintain proficiency and currency as the technology evolves and advances.
• Achieve and maintain proficiency with cluster and framework sizing, installation, debugging, performance optimization, migration, security and automation.
• Achieve proficiency with MapR DB Binary and Json Tables sizing performance tuning and multi-master replication.
• Achieve proficiency with MapR Event Stream sizing, performance tuning and multi-master replication.
• Ensure the on-time delivery and quality of Professional Service engagements.
• Be a technical interface between the customer (Data Science/Data Analysts) and the delivery team, point of escalation between Customer and Product Engineering
• Provide best practice in exploiting the software to meet the Customer Use Cases
• Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
• Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
• Assisting with solution improvement
• Be a technical voice to customers and a community via blogs, User Groups (UG’s) and participation at leading industry conferences.
• Stay current in best practices, tools, and applications used in the delivery of professional service engagements.

About You:

• 5+ years of experience administering any flavor of Linux
• 3+ years of experience in architecting, administrating, configuring, installation and maintenance of Open Source Big-data applications, with focused experience on MapR distribution
• 3+ years hands-on experience with supporting Hadoop ecosystem technologies
• Source Big-data applications, with focused experience on MapR or CDP distribution.
• Expertise in administration of MapR DB / Hive / HBase / Spark / Oozie / Kafka
• Strong scripting skills (Bash or Python preferred)
• Familiarity with commercial IT infrastructures including storage, networking, security, virtualization, and systems management
• Good understanding of High availability
• Able to implement Hadoop Data Security using Groups/Roles
• Implement and manage Cluster security
• Ability to troubleshoot problems and quickly resolve issues
• Cluster maintenance as well as creation and removal of nodes
• Performance tuning of Hadoop clusters and Hadoop MapReduce routines
• Screen cluster job performances and capacity planning
• Monitor cluster connectivity and security
• Collaborating with application teams to install operating system and MapR updates, patches, version upgrades when required
• Integration with other Hadoop platforms
• Familiarity with either Ansible, Puppet or Chef
• Familiarity with Kubernetes
• Proficiency in basic Java or Scala programming preferred but not required
• Bachelor's degree in CS or equivalent experience
• Strong verbal and written communication skills are required

Ideal candidate will have any/all of the following:

RHCE certification, Bash or Python scripting, Automation using Ansible, Kubernetes administration, basic knowledge of Spark

Proactive Prerequisite Role Restrictions:

Must have/held National (SC) Clearance or above

We are looking for a high achiever who are eligible to work in the UK.

What We Can Offer You:

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world’s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.

If you are looking for challenges in an exciting, supportive, and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers.

Join us and make your mark!

Find out more about us and follow us on:

https://www.facebook.com/HPECareers

https://twitter.com/HPE_Careers

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one to innovate global diverse team that is representative of our customers, in an inclusive environment where we can continue and grow together

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