Big Data Operations Engineer

Exness Cyprus
Relocation
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AI Summary

We are seeking a Big Data Operations Engineer to manage k8s cluster environments, implement and operate Data Lake, and deploy and maintain Spark on k8s. The ideal candidate will have experience in deployment and maintaining Hadoop Ecosystem, including Spark framework, and a deep understanding of Hadoop and Spark cluster security.

Key Highlights
Manage k8s cluster environments
Implement and operate Data Lake
Deploy and maintain Spark on k8s
Key Responsibilities
Manage k8s cluster environments
Implement and operate Data Lake
Deploy and maintain Spark on k8s
Provide monitoring and alerting of the services
Participate in Data Platform architecture development
Technical Skills Required
Hadoop Ecosystem Spark framework Kubernetes Docker Containerd Linux Puppet Chef Ansible Java Python GO SQL
Benefits & Perks
Competitive salary
Annual performance bonus
Full relocation support
Top-tier health insurance
Unlimited learning opportunities
Education allowance
21 working days of annual leave
Employee appreciation program
Branded MINI Cooper Countryman company car
Free in-house sports clubs
Sanctum Club gym access
Jet skis
Exclusive discount program
Expat tax perks
Nice to Have
Experience with Big Data Processing & Data Lake building
Strong working knowledge of disaster recovery, incident management, and security best practices

Job Description


Why this role matters

We are looking for a Big Data Ops in the Research and AI department - Big Data Team in Limassol, Cyprus.

We are seeking a Big Data Ops with a balance of skills in design, physical implementation and performance tuning to create, operate and support Big Data Data and AI Infrastructure and environments running on-premise or on external cloud services providers.

We offer ambitious projects and tasks on developing our Data Lake. In addition to that, you will be a part of our friendly and professional team.

What You'll Actually Do

  • Manage k8s cluster environments on bare-metal and container infrastructure, including service allocation and configuration for the cluster, capacity planning, performance tuning, and ongoing monitoring;
  • Implement and operate Data Lake (S3 + Trino);
  • Operate and Develop on-premise AI infrastructure
  • Deploy and maintain Spark on k8s;
  • Data protection according to company security policies;
  • Provide monitoring and alerting of the services;
  • Participate in Data Platform architecture development.

Who We’re Looking For

  • Relevant experience in deployment and maintaining Hadoop Ecosystem including Spark framework;
  • Deep understanding of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance;
  • Working knowledge of containers (e.g., docker, containerd) and major orchestrators (e.g., Kubernetes, rancher);
  • Understanding object storage solutions based on S3;
  • Excellent knowledge of Linux;
  • Working knowledge of automation tools (e.g., Puppet, Chef, Ansible)
  • General knowledge of Java/Python/GO, SQL;
  • Understanding of base principles CI/CD in the data processing area;
  • Experience with Big Data Processing & Data Lake building;
  • Strong working knowledge of disaster recovery, incident management, and security best practices.

What We Offer Along The Way

  • Competitive salary and annual performance bonus
  • Full relocation support for you and your family — flights, housing, visas, and legal assistance included
  • Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
  • Unlimited learning opportunities: external courses, English lessons, career and leadership development
  • Education allowance covering school and kindergarten fees
  • 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
  • Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
  • “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
  • Employee share scheme — grow with us
  • Branded MINI Cooper Countryman company car and private parking
  • Free in-house sports clubs, Sanctum Club gym access, and jet skis
  • Access to a Corporate doctor
  • Exclusive discount program with cafes, gyms, and local services
  • Expat tax perks: up to 50% income tax exemption
  • Support with the naturalisation process for relocated employees

What Your Journey Looks Like

  • Intro call with Recruiter (30 minutes)
  • English check (if needed)
  • Tech interview (90 minutes)
  • Behavioural interview (60 minutes

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Sounds like you? Apply.

Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.

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