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Data / DevOps Engineer - Bristol, United Kingdom - Hewlett Packard Enterprise Development LP
Description
Data DevOps EngineerThis role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an HPE office.
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.
We have a brand-new opportunity for a bright, driven, customer focussed professional to join our Hybrid Cloud 'Delivery' team, and work alongside our Enterprise Data Engineering consultants to accelerate and drive data engineering opportunities.
The Advisory and Professional Services (A&PS) delivery team within HPE Pointnext Services is responsible for bringing thought-leadership, industry know-how and technical excellence to consultative engagements.
Helping customers to reap maximum business benefit from their technical investments, leveraging best in class HPE and Partner technologies to create relevant and effective business-valued technical solutions.
The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems.
Extensive social benefits, flexible working hours, a competitive salary and shared values, make Hewlett Packard Enterprise one of the world's most attractive employers.
At HPE our goal is to provide equal opportunities, work-life balance, and constantly evolving career opportunities.As a Data DevOps Engineer , you will be responsible for:
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Assisting with solution improvement activities driven either by the project or service
To excel in this very technical role, you will need to have:
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation
Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc.
Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem
Excellent knowledge of YAML or similar languages
Jupyter Hub Awareness
Familiarity with code development, shell-scripting in Python, Bash etc.
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 DevelopmentWe 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.
Diversity, Inclusion & BelongingWe are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
Technology innovation that fosters business transformation.
We help customers use technology to slash the time it takes to turn ideas into value. Some of our customers run traditional IT environments. Wherever they are in that journey, we provide the technology and solutions to help them succeed.
COVID Policy
The health and safety of our team members, customers and partners is paramount at HPE.
Accordingly, if applicable to the role you applied to, you must be fully vaccinated against COVID-19 by the employment start date where permitted by law.
Exemptions based on medical, religious or other grounds will be processed and approved in accordance with local laws.The Hewlett Packard Enterprise Standards of Business Conduct (SBC) embody the fundamental principles that govern our ethical and legal obligations to Hewlett Packard Enterprise.
Hewlett Packard Enterprise provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law.
E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.You can also download the posters with information on legal rights and protection by clicking here and here .
Hewlett Packard Enterprise is committed to working with and providing reasonable accommodation to qualified, differently abled individuals.If you need assistance in filling out the employment application or require a reasonable accommodation while seeking employment, please email .
Note:
This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
Disclosure of Sensitive Personal Data
Please ensure the resume you submit to us does not include any sensitive personal data.
Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation.
To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.
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