Big Data Engineering Leader for Advanced Threat Detection

2 days ago


Remote, Czech Republic Adaptiq Full time

**Company Overview**

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

Our expertise lies in providing cutting-edge solutions that empower organizations to stay ahead of evolving cybersecurity risks.


**Job Description**

We are seeking an experienced Senior Big Data Engineer to join our high-performance team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining robust distributed systems with complex requirements.

With your extensive knowledge and experience in GoLang, streaming and batching processes, and big data tools such as Spark or Flink, you will play a vital role in enhancing system performance and scalability.

You will collaborate closely with cross-functional teams to ensure seamless integration and functionality of software components.

Additionally, you will implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles.

**Required Skills and Qualifications**

  • At least 5 years of experience in Data Engineering domain
  • Proficiency in SQL, NoSQL, Kafka/Pulsar, ELK, Redis, and column store databases
  • Experience with big data tools such as Spark or Flink to enhance system performance and scalability
  • Proven experience with Kubernetes (K8S) and familiarity with GTP tools

**Benefits**

  • Competitive package
  • 20 days of vacation leave per calendar year
  • Professional growth and well-being prioritized

**Others**

As a valued member of our team, you will have the opportunity to work on international projects and contribute to the company's flat structure.

Private healthcare and flexible working arrangements will also be offered to support your overall well-being.



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