πBrazil
Data Engineer I

Adaptiq
πRemote - Poland
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Summary
Join Adaptiq, a technology hub supporting R&D teams, as a Senior Big Data Engineer specializing in GoLang. This role involves designing, developing, and maintaining robust distributed systems, collaborating with cross-functional teams, and optimizing scalable server systems. You will leverage big data tools like Spark or Flink and utilize various databases such as SQL, NoSQL, Kafka/Pulsar, ELK, Redis, and column stores. Experience with Kubernetes and GTP tools is essential for deployment and management. The position requires a proactive approach and excellent communication skills.
Requirements
- At least 5 years of experience in Data Engineering domain
- At least 2 years of experience with GoLang
- Proficiency in SQL, NoSQL, Kafka/Pulsar , ELK, Redis and column store databases
- Experienced 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 to ensure efficient deployment and management of applications
- Ability to work effectively in a collaborative team environment
- Excellent communication skills and a proactive approach to learning and development
Responsibilities
- Architect, develop, and maintain robust distributed systems with complex requirements, ensuring scalability and performance
- Work closely with cross-functional teams to ensure the seamless integration and functionality of software components
- Implement and optimize scalable server systems, utilizing parallel processing, microservices architecture, and security development principles
- Effectively utilize SQL, NoSQL, Kafka/Pulsar, ELK, Redis and column store databases in system design and development
- Leverage big data tools such as Spark or Flink to enhance system performance and scalability(experience with these tools is advantageous)
- Demonstrate proficiency in Kubernetes (K8S) and familiarity with GTP tools to ensure efficient deployment and management of applications
Preferred Qualifications
- Experience in data cybersecurity domain
- Experience in startup growing product
Benefits
- We utilize a remote working model, providing a powerful workstation and co-working space of your choice in case you need it
- We offer a highly competitive package
- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in)
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