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Ezmeral Data Fabric Engineer at NATEK

Remote:

Full Remote

Contract:

Freelance

Experience:

Mid-level (2-5 years)

Work from:

Bulgaria

Offer summary

Qualifications:

Experience with HPE Ezmeral Datafabric, Strong Linux Shell scripting skills, Proficiency in Python for automation, Familiarity with big data ecosystems, Knowledge of distributed computing and scaling.

Key responsabilities:

Deploy and manage HPE Ezmeral Datafabric
Design automation workflows using Linux and Python
Develop scalable data solutions collaboratively
Monitor performance and troubleshoot environment issues
Document configurations and recommend improvements

NATEK Information Technology & Services SME https://natek.eu/

501 - 1000 Employees

See more NATEK offers

Job description

Job Description

Our partner is seeking a skilled Ezmeral Datafabric Engineer to join the innovative and fast-paced team. In this role, you will be responsible for deploying, managing, and optimizing Ezmeral Datafabric platform to support various data-centric operations. You will collaborate with teams across the organization to implement scalable solutions for handling big data, while automating processes and improving operational efficiency.

Your expertise in HPE Ezmeral Datafabric, coupled with hands-on experience in Linux Shell scripting, Python, and automation, will be vital in ensuring seamless data operations. Familiarity with HPE Ezmeral Runtime Enterprise (ERE) and experience in Agile frameworks such as Jira will be advantageous for success in this role.

Your Responsibilities

Deploy, configure, and manage HPE Ezmeral Datafabric to support big data infrastructure and applications.
Design and implement automation workflows using Linux Shell scripting and Python to enhance the efficiency of data operations and platform management.
Collaborate with cross-functional teams to develop scalable data solutions that integrate seamlessly with existing infrastructure.
Monitor the performance, health, and security of the Ezmeral Datafabric environment, and troubleshoot issues as they arise.
Develop and maintain documentation for platform configurations, automation scripts, and operational procedures.
Continuously assess the infrastructure and recommend improvements for optimization and performance tuning.
Utilize Agile methodologies for project management and collaboration, contributing to sprints and team meetings, with experience in Jira
Software being considered an advantage.
Work closely with teams to implement HPE Ezmeral Runtime Enterprise (ERE), leveraging its capabilities to enhance data fabric operations where applicable.
Provide support and guidance to other engineers and teams working with HPE Ezmeral products, promoting best practices and knowledge sharing

Our Requirements

Experience with HPE Ezmeral Datafabric or similar big data platforms.
Strong hands-on experience with Linux Shell scripting for automation and operational tasks.
Proficiency in Python for scripting and automation of data operations.
Familiarity with big data ecosystems, distributed computing, and scalable architecture design.
Experience with automation tools and frameworks, with the ability to implement automated workflows for system management.
Excellent problem-solving and troubleshooting skills, with the ability to manage and resolve complex issues in a data-centric environment.
Strong understanding of Linux operating systems and networking concepts.

Benefits

Great project experience to your professional resume
Work in global environment at a high working pace
Flexible type of employment (COW OR B2B)
For contractors - entitlement to additional 23 days offer
COW employees - additional paid day off for volunteering
Internal Mobility Program – enjoy many opportunities for career growth, job rotations, diversity of projects & technologies
Referral Program – enjoy cooperation with your colleagues and get a bonus!
5/10 Years NATEK Club – we offer long-term cooperation and celebrate each fifth-year cooperation anniversary with gifts
Private healthcare
Meal contribution to your account
Cafeteria system/Multisport cards
Technical and personal trainings
Language courses
Personal event bonus